JP2019054647A - Distributed power supply control device, distributed power supply control system, and distributed power supply control method - Google Patents

Abstract

To determine whether or not a distributed power supply can be utilized as adjustment power, and to control the same to be utilized as the adjustment power during a DR execution scheduled period.SOLUTION: A distributed power supply control device has an operation state grasping means grasping a present operation state of a distributed power supply of a plurality of users, an operation state forecasting means capable of forecasting the operation state of the distributed power supply in a DR execution scheduled period per user supposing that a DR is not executed, a user selecting means selecting a user having the distributed power supply which can be utilized as adjustment power of the DR, an operation control determining means determining an operation control method of the distributed power supply which can be utilized as the adjustment power of the selected user, and an instruction means instructing a power supply management device managing the distributed power supply of the selected user so as to execute the operation control method determined by the operation control determining means during the demand response execution scheduled period.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a distributed power control device, a distributed power control system, and a distributed power control method. Specifically, a distributed power control device, a distributed power control system, and a distributed power control for using power from a distributed power source such as a storage battery, a cogeneration system, or photovoltaic power generation as a regulated power during demand response. Regarding the method.

  In recent years, a so-called smart community using IT technology has become active so that optimal power use can be performed on a regional basis. As part of this smart community, there is a mechanism called demand response.

The above-mentioned demand response mainly promotes the suppression of power consumption on the electricity demand side of homes, office buildings, factories, etc. in the region when power supply and demand is tight, and optimal power use in the entire region. It is a mechanism to realize. In this demand response implementation period, methods such as giving incentives according to the amount of power consumed by consumers (the amount of negative watts) are being studied.
On the other hand, from FY2017, an electric power transmission and distribution company led the public call for adjustment power during the demand response implementation period. As this adjustment electric power, attention is paid to utilizing electric power generated by a distributed power source such as a cogeneration system and a storage battery.

In the prior art, there is one that optimizes the operation schedule of a distributed power source such as a storage battery, a cogeneration system, and photovoltaic power generation in consideration of an incentive by demand response during a demand response implementation period (for example, Patent Document 1).
In the prior art described in Patent Document 1, when the power consumption is lower than the baseline preset for each customer during the demand response execution period, the difference between the baseline and the power consumption is negative wattage. It is considered a quantity and incentives are paid according to the amount of negative watts.

JP, 2015-018374, A

In the prior art described in Patent Document 1, since the consumer can receive an incentive in response to a demand response request, there is an advantage that the number of consumers in response to the demand response request can be increased. When using a distributed power source as regulated power during the period, whether or not the distributed power source can be used depends on the state of the customer's distributed power source and there is no guarantee that it can be used as a demand response.
An object of the present invention is to solve such a problem. Specifically, during a demand response execution period, it is determined whether or not a distributed power source can be used as adjustment power, and is used as adjustment power. By controlling in this way, it is to increase the possibility that the distributed power source can be utilized as the regulated power.

  The distributed power supply control device according to the present invention is characterized by the following points. In other words, it is installed in an aggregator that undertakes demand response as a measure to reduce power demand from power companies that supply power, and grasps the current operating status of distributed power sources installed in each of multiple consumers And the demand when it is assumed that the demand response is not performed based on the past performance data related to the operating state of the distributed power source for each consumer in response to a request including an execution schedule period of the demand response. An operation state prediction unit capable of predicting an operation state of the distributed power source in the scheduled execution period of the demand response for each house, and an operation of the distributed power source in the execution period of the demand response predicted by the operation state prediction unit Based on the state, the distributed power that can be used as adjustment power for the demand response The adjustment of the selected consumer based on the operating state of the distributed power source in the demand response execution scheduled period predicted by the operating state predicting unit The operation control determining means for determining an operation control method of the distributed power source that can be utilized as electric power, and the operation control method determined by the operation control determining means are executed in the scheduled execution period of the demand response. Instructing means for instructing a power management apparatus that manages the distributed power source of the selected consumer.

According to the present invention, the operation state of the distributed power source is predicted for each consumer during the scheduled demand response implementation period, and the consumer is selected based on the prediction result, and the adjusted power is selected for each selected consumer. Since the operation control method of the distributed power source that can be used is determined, the possibility that the distributed power source can be used as the regulated power during the demand response period is increased.
As a result, it is possible to select as many customers as possible without requesting all of the customers, and to ensure that the convenience of the customers is not impaired as much as possible, and to respond appropriately to demand requests from electric power companies. can do.

  Further, the operation control determining means, for the distributed power source that can be utilized as the adjusted power of the selected consumer, from the request for the demand response until the scheduled execution period of the demand response is started. The operation control method of the distributed power source during the preparation period is further determined, and the instruction unit further executes the operation control method of the distributed power source during the preparation period determined by the operation control determination unit Thus, the power management apparatus is instructed.

  According to the present invention, the distributed power control apparatus instructs the power management apparatus by the instruction means, the operation control method determined for each customer by the operation control determination means. At this time, if necessary, in order to prepare for the operation control method to be executed during the demand response scheduled execution period, the operation control method of the distributed power supply during the preparation period is determined, and the operation control method during the preparation period is determined as the power management device. It is possible to utilize the distributed power source more effectively.

  Furthermore, the operation control determining means is characterized in that the operation control method that is most advantageous for the consumer can be determined from among the operation control methods using a single type or a combination of a plurality of types of distributed power sources.

  According to the present invention, an operation control method that is most advantageous for a consumer is determined from among an operation control method using a plurality of types of distributed power sources alone or a combination of operation control methods. The distributed power supply control device determines the operation control method that is most advantageous for the consumer, so that the consumer can execute the operation control method that is most advantageous for the user.

  Further, the operation control determining means may be a single unit or a combination of a plurality of types of the distributed power sources based on a cost per unit power when used as the regulated power, which is predetermined for each type of the distributed power source. The operation control method that is most advantageous for the consumer is determined from the operation control methods according to (1).

  When a consumer has a plurality of distributed power sources, it is not easy for the consumer himself to determine and determine an operation control method that is most advantageous to him. In the present invention, the operation control determining means of the aggregator determines the operation control method that is most advantageous for the consumer, and the instruction means instructs the power management device to determine the determined operation control method, so that the burden of the consumer's determination decision is increased. And the cost of the adjustment power can be minimized.

  Further, the consumer selection means selects the consumer so that a total of the adjusted power procured for each consumer reaches the necessary adjusted power in the demand response request. To do.

According to the present invention, the aggregator selects the consumers so that the total of the adjusted power procured for each consumer reaches the necessary adjusted power in the demand response request, not all the consumers.
When all the customers managed by the aggregator are targeted, the convenience for the customers is greatly impaired. In the present invention, however, the adjustment power required for the demand response request is selected. As a result, it is possible to respond to a demand response request without impairing the convenience of the consumer.

  The distributed power supply control system according to the present invention is characterized by the following points. In other words, it is installed in each of a plurality of consumers, installed in a power management device that manages the distributed power sources of the consumers, and an aggregator that undertakes a demand response as a measure for reducing power demand from a power company that supplies power. An operation state grasping means for grasping a current operation state of a distributed power source installed in each of a plurality of consumers, and a distributed power source for each consumer according to a request including an execution schedule period of the demand response Based on the past performance data related to the operating state of the operating state, the operating state prediction that can predict the operating state of the distributed power source during the demand response scheduled execution period for each consumer when it is assumed that the demand response is not performed And the operating state of the distributed power source during the demand response scheduled execution period predicted by the operating state predicting unit Based on the customer selection means for selecting a consumer having the distributed power source that can be used as the adjustment power for the demand response, and the distribution in the scheduled execution period of the demand response predicted by the operating state prediction means Based on the operating state of the type power supply, the operation control determining means for determining the operation control method of the distributed power source that can be utilized as the adjusted power of the selected consumer, and determined by the operation control determining means A distributed power control device comprising: instruction means for instructing the power management device of the selected consumer to execute the operation control method in the scheduled period of execution of the demand response. It is characterized by that.

  According to the present invention, it is possible to predict the operating state of a distributed power source during a demand response scheduled period for each consumer, select a consumer based on the prediction result, and use it as adjusted power for each consumer. Determine the operation control method of the distributed power supply. This increases the possibility that the distributed power source can be used as regulated power during the demand response implementation period, so that the convenience of the consumer can be reduced as much as possible by selecting the consumer. It is possible to provide a distributed power control system capable of accurately responding to demand response requests from the company.

  The distributed power control method according to the present invention is characterized by the following points. That is, when the demand response from the electric power company is requested by the distributed power control device described above, the consumer having the distributed power source that can be used as the adjusted power is selected and the selected Determine the operation control method of the distributed power source that can be used as the regulated power of the consumer, and implement the demand response for the power management device that manages the distributed power source of the selected consumer The operation control method is instructed to be executed during the period.

  According to the present invention, it is possible to predict the operating state of a distributed power source during a demand response scheduled period for each consumer, select a consumer based on the prediction result, and use it as adjusted power for each consumer. Determine the operation control method of the distributed power supply. As a result, during the demand response implementation period, it is possible to increase the possibility that the distributed power source can be used as regulated power, and the convenience of the consumer can be reduced as much as possible by selecting the consumer. It is possible to provide a distributed power control method capable of accurately responding to demand response requests from.

1 is a block diagram illustrating a relationship between an electric power company, an aggregator, and a customer, according to a first embodiment of the present invention. 1 is a block diagram illustrating a distributed power supply control device according to a first embodiment of the present invention. FIG. 1 is a block diagram illustrating a configuration example of a distributed power control apparatus as a control server according to a first embodiment of this invention. FIG. It is 1st Embodiment of this invention, Comprising: It is explanatory drawing which shows the operating condition of the past distributed power supply of one consumer. In the first embodiment of the present invention, a provisional baseline, an adjusted baseline, an actual power usage line, a demand response execution period between a demand response start and a demand response end, and a negative power as a power reduction amount It is explanatory drawing which shows the relationship of quantity. It is 1st Embodiment of this invention, Comprising: It is explanatory drawing which shows the flow from a demand response request to the end of a demand response. It is 1st Embodiment of this invention, Comprising: It is explanatory drawing which shows the case where a multiple types of distributed power supply is utilized with a single body and a combination. It is 1st Embodiment of this invention, Comprising: It is explanatory drawing which shows the flow in the case of utilizing a storage battery. It is 1st Embodiment of this invention, Comprising: It is explanatory drawing which shows the flow in the case of utilizing a cogeneration system. It is 1st Embodiment of this invention, Comprising: It is explanatory drawing which shows the content according to the operation type of the distributed power supply of one consumer, and electric power cost. It is the 1st Embodiment of this invention, Comprising: It is a flowchart which shows the flow of demand response implementation. 12 is a flowchart illustrating a flow of determination processing for the operation control method and the like during the demand response execution scheduled period in step 114 of FIG. 11 according to the first embodiment of this invention. It is 2nd Embodiment of this invention, Comprising: It is explanatory drawing which shows the electric power cost and adjustment electric power of the consumer before and behind sorting in order of electric power cost. 12 is a flowchart illustrating a flow of determination processing for an operation control method and the like during the demand response execution scheduled period in step 114 of FIG. 11 according to the second embodiment of the present invention. It is 3rd Embodiment of this invention, Comprising: It is explanatory drawing which shows the electric power cost and adjustment electric power of the consumer before and behind sorting in order with large adjustment electric power. FIG. 12 is a flowchart showing a flow of determination processing for the operation control method and the like during the demand response execution scheduled period in step 114 of FIG. 11 according to the third embodiment of the present invention. (A) is explanatory drawing which shows electric power cost and adjustment electric power with a rectangle, (B) is an explanatory drawing in which the pattern inside the rectangle means that consumer A is a diagonal line, customer B is a horizontal line, and customer C is a vertical line. (C) is an explanatory diagram in which the numerical value 1 inside the rectangle is the type with the lowest power cost for the consumer, the numerical value 2 inside the rectangle is the type with the second lowest power cost for the consumer, and so on. D) is an explanatory diagram showing the second embodiment of the present invention in the rectangle, and (E) is an explanatory diagram showing the fourth embodiment of the present invention in the rectangle. It is the 4th embodiment of this invention, Comprising: (A) is explanatory drawing which shows the content of all the combinations of all the types of all the consumers used as object, (B) is all of all the consumers used as object. It is explanatory drawing which shows the sum total of the adjustment electric power in the part of combination of types, and the sum total of the payment amount of an aggregator. FIG. 12 is a flowchart illustrating a flow of determination processing for the operation control method and the like during the demand response execution scheduled period in step 114 of FIG. 11 according to the fourth embodiment of the present invention.

  DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Exemplary embodiments for implementing a distributed power supply control device, a distributed power supply control system, and a distributed power supply control method of the present invention will be described below in detail with reference to the drawings.

(First embodiment)
First, the overall configuration of the distributed power supply control system according to the present embodiment will be described with reference to FIG.
The distributed power control system 10 includes a home energy management system (HEMS) as a power management device 210 installed in each of a plurality of consumers 200, and a control server as a distributed power control device 40 connected to each HEMS. And.

The power management apparatus 210 can manage the electric power, the operating state, and the like that are used by the air-conditioning equipment of each consumer 200 and load equipment such as hot-water supply equipment.
The HEMS as the power management device 210 grasps the power generation amount of the distributed power source, the energy usage amount of the load equipment such as the power usage amount and gas usage amount in real time, and visualizes it on the monitor etc. to make it “visible”. It can be managed centrally and actively controlled.

  The distributed power supply control device 40 is installed in a plurality of aggregators 30 that undertake DR, which is a demand response as a measure for reducing power demand from the power company 20 that supplies power. The aggregator 30 manages the operating state of the distributed power source of the customer 200 via the HEMS by the distributed power source control device 40.

The distributed power source is, for example, a storage battery 220, PV 230 that is solar power generation, or CGS 240 that is a co-generation system. Of course, the distributed power source is not limited to this. If a relatively small-scale power generator is distributed near the consumption area, wind power generation or Geothermal power generation, biomass power generation, etc. may be included.
Further, the types of distributed power sources that are provided for each consumer are different, and may be one distributed power source or a plurality of distributed power sources.

  The storage battery 220 is a facility that uses a secondary battery capable of both charging and discharging.

  PV230, which is solar power generation, is a power generation facility including a solar panel that converts sunlight energy into electrical energy.

  The CGS 240 includes a system that can use the exhaust heat as well as power generation by an internal combustion engine or an external combustion engine. For example, a thermoelectric supply system that generates power using gas as an energy source and can use exhaust heat is included. Moreover, what uses a fuel cell as an electric power generation and a heat source is included.

  The storage batteries 220, PV 230, and CGS 240 as these distributed power sources are managed by the HEMS as the power management device 210 described above.

The aggregator 30 undertaking DR as a measure for reducing power demand from the power company 20 manages the power supply and demand of a plurality of customers 200 by contract.
The aggregator 30 has a distributed power control device 40 as a control server connected to a HEMS as a power management device 210 via a network line.

  As shown in FIG. 2, the distributed power supply control device 40 includes an operation state grasping unit 60, an operation state prediction unit 70, a customer selection unit 80, an operation control determination unit 90, and an instruction unit 100. Yes.

The operation state grasping means 60 grasps the current operation state of each distributed power source of each customer 200 for each device. In the present embodiment, the HEMS as the power management device 210 of each customer 200 accurately manages the distributed power source for each device, and the data possessed by the HEMS through the network line via the HEMS is an aggregator. It is transmitted to the operating state grasping means 60 of the distributed power supply control device 40 which is 30 control servers. Thereby, the distributed power supply control apparatus 40 can grasp | ascertain the operating state of each distributed power supply of each consumer 200. FIG. However, the present invention is not limited to this, and depending on the capability of the HEMS, various data may be directly transmitted from each distributed power source of each customer 200 to the control server of the aggregator 30 via a network line. Also good.
The data received by the operating state grasping means 60 is all stored as past data in the nonvolatile memory 44D as a storage device included in the operating state grasping means 60. These data are taken out by the driving state prediction means 70 and used when the driving state is predicted.

  The operation state predicting means 70 is a customer when it is assumed that DR is not performed based on the past performance data regarding the operation state of the distributed power source for each customer 200 in response to a request including the scheduled execution period of DR. It is possible to predict the operating state of the distributed power source during the planned DR execution period for every 200.

  Specifically, it is assumed that the operation state prediction unit 70 does not perform DR based on the average performance data of the distributed power source of each customer 200 stored in the operation state grasping unit 60 in the past January. The operation state of the distributed power supply before and after the planned DR implementation period for each customer 200 is predicted. The past performance data used for the prediction is not limited to the past January, but may be any data as long as average data is collected. For example, February, March, June The average of December, 24th, etc. may be used. In order to suppress seasonal factors, average data for a predetermined period such as January of the same period of the previous year (one year ago) may be used.

Based on the operation state of the distributed power source in the planned DR execution period predicted by the operation state prediction unit 70, the consumer selection unit 80 selects the customer 200 having the distributed power source that can be used as the adjustment power for DR. To do.
Specifically, when it is predicted that the distributed power source that the customer 200 has in the DR implementation scheduled period has a room for generating adjusted power, the customer selection unit 80 selects the customer 200. The consumer 200 having a distributed power source that can be used as the regulated power is selected.
On the other hand, when it is predicted that the distributed power source possessed by the customer 200 does not have room for generating adjusted power, there is no room for generating adjusted power. The consumer 200 having a distributed power source that can be used as regulated power is not selected. For example, when the distributed power source possessed by the customer 200 is the storage battery 220 and it is predicted that the rated discharge is performed in the scheduled DR implementation period, there is no room for generating adjusted power. To be judged. Further, when the distributed power source possessed by the customer 200 is PV230, and it is predicted that the rated operation is performed during the DR implementation scheduled period, it is determined that there is no room for generating regulated power. Is done.

  The operation control determining unit 90 is a distribution that can be used as the adjusted power of the selected consumer based on the prediction of the operation state of the distributed power source in the DR implementation scheduled period of the customer 200 selected by the customer selection unit 80. This determines the operation control method of the mold power source.

The operation control determining means 90 is the most advantageous operation control for the customer 200 among the operation control method of a single type of a plurality of types of distributed power sources and the operation control method of an arbitrary combination of a plurality of types of distributed power sources. The method can be determined (see FIG. 10).
Specifically, the operation control determining means 90 is a single unit or a combination of a plurality of types of distributed power sources based on the cost per unit power when used as regulated power, which is predetermined for each type of distributed power source. The operation control method that is most advantageous for the customer 200 is determined from the operation control methods according to the above.

  For example, as shown in FIG. 10 to be described later, when the storage battery 220, the CGS 240, and the PV 230 are provided as the distributed power source, the operation control determining unit 90 is a single unit (except PV). Compare the cost (yen / kWh) for generating electric power used per unit time for operation and combination types, so-called power cost, and determine the operation control method of the lowest cost type. (See FIG. 10).

  Further, the operation control determination unit 90 prepares a period from the request including the scheduled DR implementation period to the start of the planned DR implementation period for the distributed power source that can be used as the regulated power of the selected customer 200. The operation control method of the distributed power source is further determined. More precisely, this preparation period is a period from the request for DR to the start time of DR after the determination of the operation control method of the distributed power source during the preparation period by the operation control determination means 90. Since the DR request from the electric power company 20 to the aggregator 30 is usually transmitted approximately one hour before the start of the scheduled DR implementation period, in this case, the preparation period is the planned DR implementation period. This is a period from about one hour before the start time to the start time of the scheduled DR implementation period. Of course, it is not limited to 1 hour before, but depends on the DR request time, and may be 15 minutes, 2 hours, 6 hours, 12 hours, etc. Thus, the longer the preparation period, the more advantageously the DR response can be prepared. For example, when a storage battery is used as the CGS 240, SOC (State Of Charge), which is the remaining capacity of the storage battery, becomes 0 during the planned DR implementation period by performing charge control during a sufficient preparation period. It is possible to avoid this.

The instruction unit 100 instructs the power management apparatus 210 that manages the distributed power sources of the selected consumers to execute the operation control method determined by the operation control determination unit 90 in the scheduled demand response execution period. To do.
Further, the instruction unit 100 instructs the power management apparatus 210 to execute the operation control method for the distributed power source during the preparation period determined by the operation control determination unit 90.

  In the present embodiment, each operation control method of the distributed power source of each customer 200 determined by the operation control determination means 90 is executed based on a contract previously concluded between the aggregator 30 and the customer 200. However, the present invention is not particularly limited to this. Each operation control method of the distributed power source of each customer 200 determined by the operation control determining means 90 is individually reported each time, and confirmation of whether or not the operation control method can be executed is confirmed individually. As a result, only the electric power obtained by the distributed power source of the consumer 200 that has obtained approval may be used as the adjustment power.

  FIG. 3 is a diagram illustrating a configuration example of the distributed power control device 40 as a control server included in the aggregator 30. The distributed power supply control device 40 is configured using a computer 47 as the control means 47A.

  The computer 47 includes a CPU (Central Processing Unit) 44A, a ROM (Read Only Memory) 44B, a RAM (Random Access Memory) 44C, a nonvolatile memory 44D, and an input / output interface (an example of the control means 47A according to the present embodiment. I / O) 45. The CPU 44A, the ROM 44B, the RAM 44C, the nonvolatile memory 44D, and the I / O 45 are connected to each other via the bus 46. As the nonvolatile memory 44D, an SSD (Solid State Drive) using a flash memory, for example, is used in addition to a hard disk.

  For example, an input device 41, a display device 42, and a communication device 43 are connected to the I / O 45.

  The input device 41 is a device that receives an instruction from the aggregator 30 that is an operator of the distributed power control device 40 and notifies the CPU 44A of the input device 41. For example, a keyboard, a mouse, a touch panel, and a microphone are used.

  The display device 42 is a device that displays information generated by the control of the CPU 44A as an image. For example, a liquid crystal display, an organic EL (Electroluminescence) display, or the like is used.

  The communication device 43 is connected to a network line, and includes a communication protocol for transmitting and receiving messages, data, and the like with the power management device 210 of each customer 200. That is, the communication device 43 has a function as a receiving unit that receives data from the power management device 210 such as the operating state of each distributed power source of the customer 200.

  In addition, the communication device 43 functions as a transmission unit that transmits, from the distributed power control device 40, data indicating the DR implementation scheduled period, the operation state of the distributed power supply during the preparation period, and the like to the power management device 210. Have

Further, the communication device 43 is connected to a network line and includes a communication protocol for transmitting / receiving a telegram with a predetermined terminal of the power company 20. That is, the communication device 43 has a function as a receiving unit that receives a data signal of DR request contents as a power demand reduction from an electric power company.
In addition, the communication device 43 has a function as a transmission unit that transmits to the power company 20 a DR schedule, a signal indicating a predicted content of power demand reduction during the DR implementation scheduled period, and the like.

  The device connected to the I / O 45 is not limited to the device illustrated in FIG. For example, you may connect the alerting | reporting apparatus which alert | reports an alarm, when communication with the power supply management apparatus 210 of the consumer 200 and the distributed power supply control apparatus 40 is cut | disconnected. Further, the input device 41 and the display device 42 are not necessarily devices essential for the distributed power supply control device 40.

  In FIG. 4, for example, as an example of one customer 200, the operation state prediction unit 70 predicts the operation state of the storage battery 220, CGS 240, and PV 230 when the DR execution scheduled period is set from 11:00 to 17:00. It is what.

  The numerical value described in each time of the distributed power source indicates the percentage of the rated operating state of each distributed power source in percent. For example, the numerical value of “discharge 100” of the storage battery is The rated discharge is 100%, that is, the rated discharge of the discharge control is being carried out. The “stop” of the CGS means the stopped state of the CGS, and the “operation 50” of the CGS has the rated operation state of the CGS. It means to drive in the state of 50% of driving.

  FIG. 5 shows the relationship between the provisional baseline 71, the actual power usage line 72, the adjusted baseline 73, the planned DR implementation period between the DR start 75 and the DR end 76, and the negative wattage 74 that is the power reduction amount. Has been.

  In the example shown in FIG. 5, the period between 11:00 and 17:00 is the scheduled DR implementation period, and the difference between the adjusted base line 73 and the actual power usage line 72 corresponds to the negative wattage 74, and this negative wattage 74 is the adjusted power. It is utilized as.

  More specifically, the operating state predicting means 70 is based on the prediction of the operating state of the distributed power source when it is assumed that DR is not performed based on the past January actual data of the distributed power source as described above. Thus, the transition of the electric power used by the customer 200 is predicted, and the provisional baseline 71 is set as shown by the two-dot chain line in FIG.

The operating state prediction means 70 focuses on the difference between the temporary base line 71 and the actual power usage line 72 before the DR start 75, and adjusts the base period after the DR start 75 to the DR end scheduled period 76 after the DR start. Line 73 is predicted. A difference between the adjusted base line 73 and the actual power usage line 72 that is a transition of the amount of power used from the commercial power system without including the power generated by the distributed power source is generated by the distributed power source. Thus, the amount of negative wattage 74 that can be used as adjustment power is obtained. An incentive corresponding to this negative wattage 74 is given to the customer 200 via the aggregator 30 or the aggregator 30 from the electric power company. This incentive specifically includes those in which cash is given in proportion to the total amount of negative wattage for one year.
The unit of the negative wattage and the calculation method are not particularly limited, and can be freely set by a contract between related parties.

The flow from DR request to DR end will be described with reference to FIG.
First, the processes (1) to (4) from when the power company makes a DR request to the aggregator 30 until the operation control method is determined are performed.
(1) When the aggregator 30 receives a DR request from the power company 20, the DR implementation scheduled period is determined. For example, in the case shown in FIG. 5, the DR start 75 is set at 11:00 and the DR end 76 is set at 17:00.

(2) Based on past performance data related to the operating state of the distributed power source during the DR implementation schedule period when DR is not performed, various data (for example, received power of the customer 200, charge of storage battery, etc.) The consumer 200 capable of utilizing the adjusted power is selected by predicting the discharge output, the CGS output, and the like.
(3) Based on the prediction of various data in (2) above, the operation control method for the scheduled DR execution period is determined.
(4) As a preparation for performing the control determined in (3) above, a control method necessary until the start of DR is determined.

Next, the process (5) is performed during the DR preparation period from the control method determination to the DR start.
(5) In accordance with the determination in (4) described above, control during the DR preparation period from control method determination to DR start is performed.

Next, the process (6) is performed during the planned DR execution period from the DR start to the DR end.
(6) In accordance with the determination in (3) described above, control is performed during the scheduled DR execution period.

  As shown in FIG. 7, in this embodiment, the three types of utilization of the distributed power sources, namely, the storage battery 220, CGS 240, and PV 230 described above are classified into the following six types (A) to (F). Are considering. Specifically, (A) Utilization of the storage battery 220 alone, (B) Utilization of the CGS 240 alone, (C) Utilization by combining the storage battery 220 and PV 230, (D) Utilization by combining the CGS 240 and PV 230, (E) There are six types that are utilized by combining the storage battery 220 and the CGS 240 and (F) the combination of the storage battery 220, the CGS 240, and the PV 230.

The flow in the case of using the storage battery 220 of (A) described above alone will be described with reference to FIG.
The target customer 200 in this case is the customer 200 that is selected by the customer selection unit 80 and is predicted to perform other than the rated discharge of the storage battery 220 during the planned DR implementation period.
The prediction during the DR implementation scheduled period when it is assumed that DR is not performed is described on the left side of FIG. 8, the control during the DR preparation period is described in the center of FIG. 8, and the DR implementation scheduled period is illustrated on the right side of FIG. The control of is described.

  In the prediction of the scheduled DR execution period when it is assumed that DR on the left side of FIG. 8 is not performed, there are three cases in which the storage battery 220 is charge control, charge / discharge stop, and discharge control.

  Further, in the prediction charging control of the DR execution scheduled period on the left side of FIG. 8, the arrow A1 that becomes charging control during the DR execution scheduled period, the arrow A2 that stops charging and discharging during the DR execution scheduled period, and the DR preparation period Through the charging control, there is an arrow A3 that becomes discharge control during the scheduled DR implementation period.

  In arrow A1, it controls so that it may become charging power lower than prediction charging power. Specifically, for example, if the charging control during the scheduled DR implementation period is controlled to 1 kW with respect to the prediction of 3 kW in the charging control when DR is not performed, the difference of 2 kW is obtained as the adjusted power.

  In the arrow A2, the adjusted power is obtained by the amount for which the charging control is stopped. Specifically, for example, if the charging control is controlled to stop charging / discharging with respect to the prediction of 3 kW, 3 kW that has been charged is obtained as the adjustment power.

In the arrow A3, by performing the charge control during the DR preparation period from the predicted charge control and performing the discharge control during the planned DR execution period, long-time discharge control can be performed during the planned DR execution period. It is possible to prevent the discharge from being stopped due to the discharge control.
In addition, in the predicted charge / discharge stop of the scheduled DR execution period on the left side of FIG. 8, there is an arrow A <b> 4 that becomes the discharge control during the planned DR execution period after charging control during the DR preparation period.

  Specifically, at the arrow A4, for example, from the state of charge / discharge stop, 3 kW charge control is performed during the DR preparation period, and 3 kW discharge control is performed during the scheduled DR implementation period, thereby controlling the discharge. 3 kW is obtained as the adjustment power. Further, by performing the charge control during the DR preparation period, it becomes possible to perform a long-time discharge control during the planned DR execution period, and the remaining capacity (SOC) becomes 0 on the way and the discharge control is stopped from the discharge control. This can be prevented.

  Further, in the predicted discharge control of the scheduled DR execution period on the left side of FIG. 8, there is an arrow A5 that becomes the discharge control during the planned DR execution period after charging control during the DR preparation period.

Specifically, in the arrow A5, control is performed so that the discharge power is higher during the scheduled DR execution period than the predicted discharge power. Specifically, for example, if the discharge power during the scheduled DR execution period is controlled to 3 kW with respect to the prediction of the discharge control 1 kW when DR is not performed, a difference of 2 kW is obtained as the adjusted power.
Note that the power saving request is independently examined by a contract between the aggregator 30 and the customer 200 regardless of the prediction of the DR implementation scheduled period.

Next, a flow in the case where the CGS 240 of (B) described above is used alone will be described with reference to FIG. In this case, the customer 200 to be selected by the customer selection means 80 is the customer 200 predicted to perform operations other than the rated operation of the CGS 240 during the scheduled DR implementation period.
The left side of FIG. 9 describes the prediction during the DR implementation scheduled period when DR is not performed, the center of FIG. 9 describes the control during the DR preparation period, and the right side of FIG. 9 illustrates the control during the planned DR implementation period. Have been described.

  In the prediction during the scheduled DR execution period on the left side of FIG. 9, the CGS 240 has two cases, that is, the operation stop of the CGS 240 and the operation of the CGS 240.

Further, when the CGS 240 is predicted to be stopped during the scheduled DR execution period on the left side of FIG. 9, the CGS 240 is activated during the DR preparation period, and there is an arrow B1 indicating the operation of the CGS 240 during the planned DR execution period.
Further, in the operation of the predicted CGS 240 during the scheduled DR execution period on the left side of FIG. 9, the operation of the CGS 240 is continued during the DR preparation period, and the CGS 240 is operated during the planned DR execution period.

  In arrow B1, it controls so that it may be started from the stop of CGS240 and it may be drive | operated. Specifically, for example, if the generated power is controlled to 3 kW by the operation of the CGS 240 after the CGS 240 is stopped, a difference of 3 kW is obtained as the adjusted power.

  In the arrow B2, the generated power is higher during the scheduled DR implementation period than the predicted power generated by the CGS 240. Specifically, for example, if control is performed so that the generated power is 3 kW during the planned DR implementation period with respect to the generated power of 1 kW during the planned DR implementation period when DR is not performed, the difference is 2 kW. Is obtained as the adjustment power.

  Next, utilization of the combination of the storage battery 220 and the PV 230 of (C) described above will be described. The consumer 200 as a target in this case is the consumer 200 that is predicted to perform other than the rated discharge of the storage battery 220 during the planned DR implementation period as in (A). Further, the flow of the control flow in (C) is the same as that in FIG.

  Since PV230 is greatly influenced by external factors such as weather conditions on the day, it is not controllable as control power, it is not used as a single PV, and other than controllable battery 220, CGS240, etc. It is used in combination with distributed power sources.

  Here, PV230 assumes that the so-called fixed price purchase system has ended, and since the purchase price of electric power has fallen, charging the storage battery 220 has priority over selling the electric power of PV230. In the daytime, it is more profitable to store the power of PV 230 in the storage battery 220, and considering the cost, it is conceivable to perform such control.

  On the other hand, as shown in (A), when there is no PV 230 and the storage battery 220 is used alone, the storage battery 220 performs charge control at night when the electricity rate is relatively low, and performs discharge control during the day when the electricity rate is high. It is possible to do it.

  That is, the storage battery 220 alone in (A) has a high possibility of performing discharge control in the daytime, while the combination of the storage battery 220 and PV230 in (C) has a high possibility of performing charge control in the daytime. It will be.

  As described above, the customer selecting unit 80 is configured to remove the customer 200 performing the rated discharge from the target customer 200. That is, there is a high possibility that the customer 200 who performs the charging control of the storage battery 220 can be used as the adjustment power resource, and the customer 200 combining the storage battery 220 and the PV 230 as shown in (C). The possibility that the adjusted power can be provided becomes higher, and the feature that the target consumers are more easily aggregated than in (A) is born by the combination of the distributed power sources as in (C).

  Next, utilization of the combination of the above-described (D) CGS 240 and PV 230 will be described. The customer 200 to be selected by the customer selection means 80 in this case is the customer 200 that is predicted to perform other than the rated operation of the CGS 240 during the planned DR implementation period as in the case of (B). . Further, the flow of the control flow in (D) is the same as that in FIG.

  In the case of the combination of CGS240 and PV230 in (D), there is a high possibility that a prediction error will occur due to fluctuations in the weather conditions and the like, so if it is smaller than the prediction, it is free like CGS240. In combination with the one that can control the output, the PV 230 can be supplemented by CGS power generation. Thereby, it is possible to avoid a failure such that the planned adjustment power could not be reached.

Next, utilization of the combination of the storage battery 220 and the CGS 240 of (E) described above will be described. The consumer 200 to be selected by the consumer selection means 80 in this case is a consumer who is predicted to perform other than the rated discharge of the storage battery 220 or perform other than the rated operation of the CGS 240 during the planned DR implementation period. 200. Note that the target consumer 200 may be the consumer 200 that is predicted to perform other than the rated discharge of the storage battery 220 and perform other than the rated operation of the CGS 240 during the planned DR implementation period. That is, a customer who has rated operation of a part of a plurality of distributed power sources may be excluded from the target consumer, or a customer who has rated operation of all of the plurality of distributed power sources may be excluded from the target customer. You may make it remove from.
The flow of the control flow in (E) is the same as that in FIG. 8 for the storage battery 220 and FIG. 9 for the CGS 240.

  In the case of the storage battery 220 alone, the power charged in the storage battery 220 is one type of charging power by the commercial power system, but by combining the CGS 240, the unit price of the charging power and the unit price of the power generation of the CGS 240 are compared. The lower advantage can be selected.

Next, the utilization of the combination of the storage battery 220, CGS 240, and PV 230 of (F) described above is the same as that of (E) described above for the target consumer and control flow.
In the case of (F), it is possible to control by combining all the descriptions in (C), (D), and (E) described above.

As shown in FIG. 10, in one customer 200, the six types (A) to (F) described in FIG. 7 are set to “prediction during DR scheduled execution period when DR is not performed” → “DR These are classified in more detail according to the contents of “control during scheduled execution period”.
In the single storage battery 220 of (A), as explained in FIG. 8, A1 charge control → charge control, A2 charge control → charge / discharge stop, A3 charge control → discharge control, A4 charge / discharge stop → discharge control. There are five types: A5 discharge control → discharge control.
As shown in FIG. 9, the CGS 240 alone of (B) has two types: C1 BGS stop → CGS operation, B2 CGS operation → CGS operation.
In the combination of the storage battery 220 and the PV 230 of (C), there are five types from A1 + PV230 of C1 to A5 + PV230 of C5.

In the combination of CGS 240 and PV 230 in (D), there are two types: B1 + PV230 of D1 and B2 + PV230 of D2.
In the combination of the storage battery 220 and the CGS 240 of (E), there are 10 types from A1 + B1 of E1 to A5 + B2 of E10.
In the combination of the storage battery 220, the CGS 240, and the PV 230 of (F), there are 10 types from A1 + B1 + PV230 of F1 to A5 + B2 + PV230 of F10.

The operation control determination means 90 calculates the cost per unit power when using it as the adjustment power in all the types described above by a program incorporated in advance.
The operation control determination unit 90 calculates the cost per unit power when using it as the adjustment power based on the operation state of the distributed power source in the scheduled DR execution period predicted by the operation state prediction unit 70.
The operation control determining means 90 can calculate an appropriate power cost by a program that is pre-installed based on the current operation state and data such as the distributed power supply model and performance registered in advance at the time of the contract. It has become.

  By calculating the power cost, for example, from the state where 1 kW power is generated by the CGS 240 per unit time, the power generation amount is increased to 3 kW to obtain 2 kW as the adjusted power, and the CGS 240 is started from the state where it is stopped. In the case of shifting to the operating state and acquiring 2 kW as the adjustment power, even if the power is the same, the latter consumes a lot of energy when starting up, which increases the necessary cost and power It turns out that the cost will be high.

  The operation control determining means 90 is a single operation control method such as A1,..., A5, B1, B2 in a plurality of types of distributed power sources, and C1,. , C 5, D 1, D 2, E 1,..., E 10, F 1,. Determine the control method. Specifically, the operation control determining means 90 determines the operation control method of the type with the lowest power cost during the planned DR execution period from the above-described types.

When the operation control determining unit 90 determines the operation control method during the DR execution scheduled period as described above based on the power cost, the determined operation control method until the DR execution scheduled period starts after the DR request by the determined operation control method. The operation control method of the distributed power source during the preparation period is determined.
Specifically, for example, in FIG. 10, when the operation control determining means 90 determines that Y4 is the most advantageous for the customer 200 as the power cost, the operation control method during the scheduled DR implementation period is determined as the A4 type. Is done. In this A4 type, as shown in FIG. 8, the operation control method based on the charge control of the storage battery 220 alone is determined as the operation control method in the DR preparation period.

Next, the flow of the DR implementation will be described with reference to the flowchart in FIG.
First, in step 110, it is determined whether or not there is a DR request from the power company 20 to the aggregator 30. If it is determined that there is a DR request, the process proceeds to the next step 111. If it is determined that there is no DR request, the process returns to step 110.

  In step 111, the operation state grasping means 60 performs the grasping process of the operation state of each distributed power source of each customer 200. Specifically, the operation state grasping means 60 of the distributed power control device 40 of the aggregator 30 obtains necessary information data from the HEMS as the power management device 210 of each customer 200 via the network line. Done. Then, the process proceeds to the next step 112.

  In step 112, the operation state prediction means 70 performs operation state prediction processing of each distributed power source of each customer 200. Specifically, the operation state prediction unit 70 determines the DR based on the current operation state data from the operation state grasping unit 60 and the past performance data on the operation state of the distributed power source for each customer 200. The operation state of the distributed power source in the DR execution scheduled period for each customer 200 when it is assumed that the operation is not performed is predicted. Then, the process proceeds to the next step 113.

  In step 113, the customer selection means 80 performs processing for setting the target customer for the current DR request. Based on the operation state of the distributed power source in the scheduled DR execution period predicted by the operation state prediction unit 70, the customer selection unit 80 selects the customer 200 having the distributed power source that can be used as DR adjustment power. Then, the process proceeds to next Step 114.

  In step 114, the operation control determination means 90 performs operation control method determination processing during the planned DR implementation period. This process will be described in detail later (see FIG. 12). Then, the process proceeds to the next step 115.

  In step 115, the operation control determining means 90 performs an operation control method determination process during the DR preparation period based on the operation control method during the DR execution scheduled period determined in step 114. Specifically, for example, if the operation control method during the DR execution scheduled period is determined as the A4 type in FIG. 10, the operation control method of the storage battery 220 during the DR preparation period is charge control (see FIG. 8). ). Then, the process proceeds to the next step 116.

In step 116, execution processing by the operation control method during the preparation period determined in step 115 is performed. Specifically, the instruction control unit 100 instructs and executes the operation control method during the DR preparation period determined for the HEMS as the power management device 210 of each customer 200 via the network line. In addition, when it determines not to perform the driving | operation during DR preparation period, that is instruct | indicated. Then, the process proceeds to next Step 117.
In step 117, it is determined whether or not it is the time of the DR start 75. When it is determined that it is the time, the process proceeds to the next step 118, and when it is determined that the time is not, the process returns to step 116.

In step 118, execution processing by the operation control method during the scheduled DR execution period determined in step 114 is performed. Specifically, the determined operation control method is instructed and executed by the instruction unit 100 to the HEMS as the power management device 210 of each customer 200 via the network line. Then, the process proceeds to next Step 119.
In step 119, it is determined whether or not it is the time of the DR end 76. If it is determined that the time is reached, the process ends. If it is determined that the time is not reached, the process returns to step 118.

Next, with reference to FIG. 12, the flow of the operation control method determination process during the planned DR execution period in step 114 of FIG. 11 will be described with reference to a flowchart.
In step 210, the operation control determining means 90 performs a process for calculating the power cost of each type (see FIG. 10) that can be selected for each customer 200.
Specifically, if there is a prediction of the operation state during the planned DR execution period when it is assumed that DR is not performed, supply for each type according to the operation state during the planned DR execution period for each type (see FIG. 10). Possible power (supplied power by type as adjustment power) can be calculated. That is, the power that can be supplied by the predicted value and the type when DR is not performed (supplied power by type) is calculated. For example, in the storage battery 220, when the operation state is predicted to stop charging / discharging and is determined to be A4 type, when the rated discharge is 3 kW, supply by type as regulated power that can be supplied by the customer 200 The power is 3 kW. In addition, the necessary cost required to supply the power is calculated from various data of the equipment used for the operation. Then, the power cost for each type can be calculated from the value of (required expense / supplied power by type).
Then, the process proceeds to the next step 211.

In step 211, the operation control determination means 90 performs a determination process of the type (see FIG. 10) having the lowest power cost in each customer 200. Then, the process proceeds to the next step 212.
In step 212, the adjustment power calculation process for each customer 200 and the total adjustment power calculation process for the customer 200 managed by the aggregator 30 are performed.

As already described, the adjustment power of each customer 200 is a type that is a prediction of an operation state in a scheduled DR execution period when it is assumed that DR is not performed, and an operation control method during the planned DR execution period (see FIG. 10). The total adjusted power is calculated by summing the adjusted power of each consumer 200. Then, the process proceeds to the next step 213.
In step 213, the extraction process of the consumer 200 added to the total adjusted power is performed. Then, the process proceeds to the next step 214.

  In step 214, the instruction unit 100 performs DR instruction processing on the extracted customer 200. Specifically, the instruction unit 100 instructs the operation control method during the DR preparation period and the DR execution scheduled period. Then, the process ends.

  In this embodiment, by having the configuration as described above, the following operations and effects are achieved.

According to the present embodiment, for each customer 200, the operating state of the distributed power source is predicted during the DR implementation scheduled period, and the customer 200 is selected based on the prediction result, and each selected customer 200 is selected. Therefore, since the operation control method of the distributed power source that can be used as the regulated power is determined, the possibility that the distributed power source can be utilized as the regulated power during the planned DR implementation period is increased.
As a result, by selecting the customer 200 without requesting all the customers 200, the convenience of the customer 200 can be prevented from being impaired as much as possible, and further, the DR request from the electric power company 20 can be accurately met. It can correspond to.

  According to the present embodiment, the distributed power control device 40 as a control server instructs the power management device 210 by the instruction means 100 about the operation control method determined for each customer 200 by the operation control determination means 90. To do. At this time, if necessary, the operation control method for the distributed power supply during the DR preparation period is determined in preparation for the operation control method to be executed during the scheduled DR execution period, and the operation control method during the DR preparation period is determined as power management By instructing the apparatus, the distributed power source can be used more effectively.

According to the present embodiment, an operation control method that is most advantageous for the customer 200 is determined from among an operation control method using a plurality of types of distributed power sources alone or an operation control method using any combination. The distributed power supply control device 40 determines the most advantageous operation control method for the consumer 200, so that the consumer 200 can execute the most advantageous operation control method for himself / herself.
The operation control determining means 90 is a method of operation control method using a single type or a combination of a plurality of types of distributed power sources based on the cost per unit power when used as regulated power, which is predetermined for each type of distributed power sources. The most advantageous operation control method for consumers is determined from among them. When a consumer has a plurality of distributed power sources, it is not easy for the consumer himself to determine and determine an operation control method that is most advantageous to him. In the present embodiment, the operation control determining means 90 of the aggregator determines the most advantageous operation control method for the consumer, and the instruction means instructs the power management apparatus 210 of the determined operation control method so that the consumer's The burden of determination and determination can be reduced, and the cost of adjustment power can be minimized.

According to the present embodiment, in the case of a combination of storage battery 220 and PV 230, the possibility of procurement of adjusted power can be made higher than in the case of storage battery 220 alone.
Further, in the case of a combination of CGS 240 and PV 230, CGS 240 can compensate for the PV 230 output shortage with respect to adjusted baseline 73.
Further, in the case of a combination of the storage battery 220 and the CGS 240, the power received from the commercial power system and the power generated by the CGS 240 can be compared to charge the storage battery 220 with less expensive power.
Moreover, in the case of the combination of the storage battery 220, CGS240, and PV230, all the effects demonstrated by the said three combination can be acquired.

(Second Embodiment)
In the present embodiment, the consumer selection means 80 first selects a consumer 200 having a distributed power source that can be used during the planned DR implementation period.
Then, the operation control determining means 90 determines the operation control method of the distributed power supply for each selected consumer 200 so that the power cost is minimized.

  And in this Embodiment, when putting together the adjustment electric power of each consumer 200, the consumer selection means 80 total of the adjustment electric power procured for every consumer 200 reaches | attains the adjustment electric power required in DR request | requirement. Thus, the customer 200 is limited and selected.

  Specifically, the consumer selection means 80 adds in order from the lowest cost per unit power when using as the adjusted power for each consumer 200, and the sum is necessary for the DR requested by the aggregator 30. The consumer 200 is selected so as to reach the adjusted power.

Here, as described in the first embodiment, the adjusted power for each consumer 200 is the operation control method having the lowest power cost among the single or combination of the plurality of distributed power sources of the consumer 200. Is obtained.
Then, the instruction unit 100 performs the operation control method determined by the operation control determination unit 90 on the power management device 210 of the customer 200 selected by the customer selection unit 80 during the scheduled demand response execution period. To instruct.

The process of adding the adjusted power for each customer 200 in ascending order of cost per unit power will be described with reference to FIG.
On the left side of FIG. 13, the customer number for distinguishing the consumer 200 before sorting in order of the power cost, the power cost predicted to obtain the most advantageous operation control method for the customer 200, The adjusted power predicted to be obtained by the operation control method of the consumer 200 is shown. The magnitude of the power cost before the sorting is not adjusted.

  The right side of FIG. 13 displays the customer number, the power cost, and the adjusted power after the sorting is performed by the ascending sort sorting program that can sort the power costs in the left table in ascending order. ing. The power costs after sorting on the right side of FIG. 13 are arranged so as to have a magnitude relationship of Z9 <Z7 <Z3 <Z8 <Z5 <Z20 <Z2 <. That is, the order after sorting is arranged in the order of low power cost from the top, and in order of low cost per unit power when used as adjustment power.

  In this embodiment, the adjusted adjustment power after sorting is added one by one in order from the top, and each time the addition is performed, it is compared whether or not the added total adjustment power has reached the adjustment power necessary for the DR request. The addition is repeated until the total adjustment power reaches the necessary adjustment power.

In the present embodiment, FIG. 14 is used instead of FIG. 12 of the first embodiment.
With reference to FIG. 14, the flow of operation control method determination processing during the planned DR execution period in step 114 of FIG. 11 will be described with reference to a flowchart.
In step 310, the operation control determining means 90 performs calculation processing for each type of power cost that can be selected for each customer 200. Then, the process proceeds to next Step 311.

In step 311, the operation control determination means 90 performs a determination process of the type with the lowest power cost in each customer 200. Then, the process proceeds to next Step 312.
In step 312, the adjustment power calculation process for each customer 200 is performed.
The adjusted power of each customer 200 is calculated based on the prediction of the operation state in the scheduled DR implementation period when it is assumed that DR is not performed, and the type that is the operation control method during the planned DR implementation period determined in step 311. The Then, the process proceeds to step 313.

  In step 313, an ascending sort / sort process is performed in ascending order of the power cost of each customer 200. Specifically, the process proceeds from before the sorting on the left side of FIG. 14 to after the sorting on the right side, and after sorting, the state is arranged from the top in ascending order of power cost. Then, the process proceeds to next Step 314.

In step 314, the adjusted power of the sorted customer 200 is added to the total adjusted power one by one in order from the top (from the top in FIG. 13).
Then, the process proceeds to next Step 315.

In step 315, it is determined whether or not the total adjustment power has reached a predetermined value that is a necessary adjustment power corresponding to the DR request. If it is determined that it has been reached, the process proceeds to the next step 316, and if it is determined that it has not been reached, the process returns to step 314.
The predetermined value may be completely matched with the DR request adjustment power, but a predetermined addition value may be added to the DR request adjustment power to provide a margin.
Specifically, in the processing of step 314 and step 315, in FIG. 13, the total adjustment power is initially P9, and it is determined whether or not P9 has reached a predetermined value. Is P9 + P7, and it is determined whether or not P9 + P7 has reached a predetermined value. If it has not reached, next, P9 + P7 + P3 is determined, and it is determined whether P9 + P7 + P3 has reached a predetermined value Is repeated until the total adjusted power reaches a predetermined value.

In step 316, the extraction process of the consumer 200 added to the total adjusted power is performed. The customer 200 of adjusted power added to the total adjusted power until the total adjusted power reaches a predetermined value is extracted. Then, the process proceeds to next Step 317.
In step 317, DR instruction processing is performed on the extracted customer 200 by the instruction unit 100. Specifically, the time of DR start 75, the time of DR end 76, the operation control method of the DR preparation period and the scheduled DR execution period, and the like are reported. Then, the process ends.

According to the present embodiment, the customer selecting unit 80 determines that the total adjustment power procured for each customer 200, not all of the customers 200, is the necessary adjustment power in the request including the scheduled DR implementation period. The customer 200 is selected so as to arrive.
When all the customers 200 managed by the aggregator 30 are targeted, the convenience for the customers 200 is greatly impaired. In the present embodiment, demand is reached so as to reach the adjusted power necessary for the DR request. By selecting the house 200, it is possible to respond to a request including the scheduled DR implementation period without impairing the convenience of the customer 200.

More specifically, the consumer selection means 80 adds the adjusted power for each consumer 200 in the order of the lowest cost per unit power, and sets the consumer 200 so that the added sum reaches the necessary adjusted power. Selected.
That is, the consumer selection means 80 selects the consumer 200 to which the adjusted power is added until the total obtained by adding the adjusted power for each consumer 200 reaches the adjusted power necessary for the DR request.
Of the adjusted electric power of the customer 200, the electric power is used for the adjusted electric power from the lowest cost per unit electric power. Thereby, the cost of necessary adjustment electric power can be made the lowest. Making the cost of the regulated power the lowest is a great benefit for both the customer 200 and the aggregator 30.

  Further, the adjusted power of each customer 200 is added until the necessary adjusted power is reached. After the total adjusted power reaches the necessary adjusted power, the procurement of the adjusted power from other consumers 200 is not performed. Not running.

In this embodiment, while adding in ascending order of cost, the added sum is limited to the consumer 200 so that the adjusted power necessary for the DR request is reached, thereby improving the convenience of other consumers 200. Without loss, the lowest cost of adjustment power can be reliably obtained in the minimum amount required for the DR request. Thereby, it becomes possible to bring profits to all of the electric power company, the aggregator 30 and the customer 200.
Other configurations, operations, and effects are the same as those described in the first embodiment, and thus description thereof is omitted.

(Third embodiment)
In FIG. 13 of the second embodiment, the adjusted power of each customer 200 is subjected to ascending sort / sort processing in ascending order of the power cost of each customer 200, and the adjusted power after sorting is total adjusted in ascending order of the power cost. In contrast to the addition as electric power, in the present embodiment, as shown in FIG. 15, the adjustment power of each customer 200 is performed in descending order sorting process in order of the adjustment electric power of each customer 200, The adjusted power after sorting is added as the total adjusted power in descending order of the adjusted power.
That is, the magnitudes of the adjusted power after sorting in FIG. 15 are as follows: P4>P1>P3>P5>P8>P18>P2>P9>.

In the present embodiment, as in the second embodiment, when the adjusted power of each consumer 200 is collected, the consumer selection means 80 determines that the total adjusted power procured for each consumer 200 is a DR request. In order to reach the necessary adjustment power, the selection is limited to the customer 200.
Specifically, the consumer selection unit 80 adds the adjusted power for each customer 200 in descending order, and the added value reaches the adjusted power necessary for the DR requested by the aggregator 30. Select.
The process of adding the adjusted power for each customer 200 in descending order will be described with reference to FIG.

In FIG. 16, only step 313 in FIG. 14 described in the second embodiment is changed to step 413 in FIG. 16, and the other steps are the same as in the second embodiment. Some explanation of the contents of each step is omitted.
In step 413, descending sort alignment processing is performed in descending order of the adjusted power of each customer 200. Specifically, the process proceeds from before the left side sort to after the right side sort in FIG. 15, and after the sort, they are arranged from the top in the descending order of the adjustment power. Then, the process proceeds to next Step 414.

In step 414, a process of adding the adjusted power of the sorted customers 200 one by one to the total adjusted power in order from the top (from the top in FIG. 15) is performed.
Then, the process proceeds to next Step 415.

  In step 415, it is determined whether or not the total adjustment power has reached a predetermined value that is necessary adjustment power corresponding to the DR request. If it is determined that it has been reached, the process proceeds to the next step 416, and if it is determined that it has not been reached, the process returns to step 414.

  Specifically, in steps 414 and 415, in FIG. 15, the total adjustment power is initially P4, and it is determined whether P4 has reached a predetermined value. , P4 + P1, and it is determined whether or not this P4 + P1 has reached a predetermined value. If not, next, P4 + P1 + P3 is obtained, and a process for determining whether or not this P4 + P1 + P3 has reached a predetermined value is performed. The operation is repeated until the total adjustment power reaches a predetermined value.

According to this Embodiment, it will be utilized for the adjustment electric power from the larger one among the adjustment electric power of the consumer 200, As a result, it will be selected from a large consumer and the consumer selected The number of 200 can be reduced the most.
From a large-scale consumer who is a small number of large-scale enterprises that have sufficient resources and can respond to DR rather than many small-scale customers such as small and medium-sized enterprises that lack human resources and energy facilities. By obtaining the adjusted power, it is possible to avoid impairing the convenience of many consumers 200.

In addition, in this Embodiment, it was utilized as adjustment electric power from the larger one among the adjustment electric power of the consumer 200, However, it is made to utilize for adjustment electric power from the smaller one out of the adjustment electric power of the consumer 200 conversely. May be. If it does in this way, it will be selected from a small consumer and the number of consumers 200 to select can be increased to the maximum. It is possible to make the adjustment power used from each customer 200 as small as possible and supply the adjustment power little by little from the many customers 200.
Other configurations, operations, and effects are the same as those described in the first embodiment, and thus description thereof is omitted.

(Fourth embodiment)
In 2nd Embodiment mentioned above, since the type with the lowest electric power cost is selected in each consumer 200, the cost merit became the largest in the consumer 200 used as object.

The operation control determining means 90 according to the present embodiment can determine the most advantageous type (operation control method) for the aggregator 30 among the combinations of all types (operation control methods) of all target customers 200. It is a thing.
Thereby, this embodiment has the greatest cost merit for the aggregator 30 rather than the consumer 200.
Specifically, the operation control determining unit 90 calculates the power cost, the adjusted power, and the payment amount of the aggregator 30 for each type of each customer 200, and further, all the target customers 200 all. The total adjustment power and the total payment amount of the aggregator 30 are calculated for all combinations of types (including cases where the customer 200 is not employed).

  Then, the operation control determining means 90 calculates the total payment amount of the aggregator 30 from the range (group) of combinations in which the total adjustment power in all the combinations has reached the value of the adjustment power required for the DR request. The minimum combination of customer 200 and type is determined.

  As an example, the case of the second embodiment and the case of the present embodiment when the aggregator 30 procures necessary adjustment power from the consumers A, B, and C will be described with reference to FIG. .

  In the present embodiment, the amount paid by each aggregator 30 to each customer 200 is proportional to the product of the power cost (yen / kW) and the adjusted power (kW) based on a predetermined contract. Is set. That is, the payment amount of the aggregator 30 is proportional to the rectangular area shown in FIG. Further, as shown in FIGS. 17D and 17E, the total payment amount of the aggregator 30 is proportional to the total rectangular area of each customer 200.

  As shown in FIG. 17A, the value of each type of power cost of each consumer 200 is made to correspond to the length of the vertical side of the rectangle, and the value of the adjusted power of each type of each customer 200 is changed to the rectangle horizontal Display according to the length of the side.

  As shown in FIG. 17B, the consumers A, B, and C are distinguished by the difference in the internal pattern of the rectangle described in FIG. When the interior of each type of rectangle of each customer 200 is diagonal, it means customer A, when it is a horizontal line it means customer B, and when it is a vertical line it means customer C. ing.

  As shown in FIG. 17C, the numerical values 1, 2, 3,... Inside the rectangle described in FIG. Means the order. Specifically, for example, the numerical value 1 is the type with the lowest power cost among the types of the consumer 200, and the numerical value 2 is the second lowest power cost among the types of the consumer 200. Type.

  As shown in FIG. 17D, when the second embodiment is shown by the above-described rectangle, the numerical values inside the rectangle are all 1, and each customer 200 has the lowest power cost. Are added in order from the lowest. Therefore, in the second embodiment, the cost merit is maximized for each customer 200.

  On the other hand, in the present embodiment, the total adjustment power and the total payment amount of the aggregator 30 in all combinations of all types of all target customers 200 are calculated, and the total adjustment power is required. The combination of the customer 200 and the type that minimizes the total payment amount of the aggregator 30 is determined from among the combinations achieved in the value of the adjusted power.

  For this reason, as shown in FIG. 17E, in the present embodiment, the type having the lowest power cost for each consumer 200 is not necessarily selected. The type with the second lowest power cost is selected. When FIG. 17D and FIG. 17E are compared, in FIG. 17E, the power cost of the consumer A is slightly increased, but the adjustment power has increased. The customer C having a high power cost is not selected, and the total area of the three rectangles is smaller than that in FIG. In FIG. 17 (E) according to the present embodiment, for each customer 200, the one with the lowest power cost is not necessarily selected as with customer A, but the area of three rectangles, That is, the total payment amount of the aggregator 30 is minimized. As a result, the cost merit for the aggregator 30 is maximized in the present embodiment.

  18 (A) and 18 (B), when there are four, five, and two types (operation control methods) for each of consumers A, B, and C shown in FIG. It explains the contents of all combinations of all types. In addition, the numerical value 0 means the case where the said consumer is not selected.

  As shown in FIG. 18A, all combinations of five of customer A, six of customer B, and three of customer C, including the case of numerical value 0, are considered. Become.

As shown in FIG. 18 (B), in each of all the combinations described in (A), the total adjustment power Q1 to Qn of each consumer 200 and the total payment T1 of the aggregator 30 of each consumer 200 ~ Tn is calculated.
Then, out of the total adjustment powers Q1 to Qn, the combination achieving the adjustment power necessary for the DR request is extracted, and the combination with the smallest total payment amount of the aggregator 30 is selected from the extracted range. To do. Thereby, the combination of the type (operation control method) of each customer 200 with which the payment amount of the aggregator 30 is finally minimized can be determined.

  With reference to FIG. 19, the flow of the operation control method determination process during the scheduled DR execution period in step 114 of FIG. 11 will be described with a flowchart.

In step 510, the operation control determining means 90 performs calculation processing for each type of power cost that can be selected for each customer 200. Then, the process proceeds to the next step 511.
In step 511, the calculation control power of each type is calculated in each customer 200 by the operation control determination means 90.

The adjusted power of each type of each customer 200 is calculated based on the prediction of the operation state in the planned DR implementation period when it is assumed that DR is not performed in each type, and the type that is the operation control method during the planned DR implementation period. Is done. Then, the process proceeds to step 512.
In step 512, the operation control determining means 90 performs a calculation process of the payment amount of each type of aggregator 30 in each customer 200.

  In this embodiment, the payment amount of the aggregator 30 is set to be proportional to the product of the power cost (yen / kW) and the adjusted power (specifically, the adjusted power capacity (kW)). The payment amount is not particularly limited to this, and can be freely set by a contract between the aggregator 30 and the customer 200. For example, it is calculated based on the product of a fixed amount (yen / kW) determined in advance by the contract and the adjusted power capacity (kW), or the unit is (kWh) instead of (kWh) ) May be calculated by various calculation methods such as calculation based on the product of the amount of reward (yen / kWh) and the adjusted power capacity (kWh). Then, the process proceeds to next Step 513.

  In step 513, the operation control determination means 90 performs a calculation process of the total adjustment power and the total payment amount of the aggregator 30 for all combinations of all types of all target consumers 200.

  Here, all the combinations of all the types of all the customers 200 are specifically, for example, as shown in FIG. 18A, between all types including the case where the customer 200 is not selected. Means a combination. As shown in FIG. 18B, the total adjustment power Q1 to Qn and the payment amounts T1 to Tn of the aggregator 30 are calculated for every combination of all types of all consumers. Then, the process proceeds to step 514.

In step 514, the operation control determining means 90 determines the amount of payment of the aggregator 30 within a range (group) in which the total adjustment power reaches a predetermined value in all combinations of all types of all target customers 200. A process is performed to determine the combination of consumer and type that minimizes the sum.
Specifically, for example, with reference to FIG. 18B, a value exceeding a predetermined value necessary for the DR request is selected from the total adjustment power Q1 to Qn, and the selected range (group) is selected. The customer and the type (operation control method) that minimize the total payment amount of the aggregator are extracted.
Then, the process proceeds to next Step 515.

  In step 515, DR instruction processing is performed on the extracted customer 200 by the instruction unit 100. Specifically, the time of DR start 75, the time of DR end 76, the operation control method of the DR preparation period and the scheduled DR execution period, and the like are reported. Then, the process ends.

In the present embodiment, the total adjustment power and the total payment amount of the aggregator are calculated for all combinations of all types of all the target customers, and the adjustment power required for the DR request in the combination. The range that can be acquired is narrowed down, and the customer and the type (operation control method) that minimize the total amount of payment of the aggregator 30 are extracted within the range.
Thereby, it is possible to respond to the DR request, and it is possible to determine the most advantageous operation control method for the aggregator 30 among the combinations of all operation control methods of all the customers 200, and the cost merit of the aggregator 30 Can be maximized.

In the present embodiment, the most advantageous operation control method for the aggregator 30 is determined by the procedure as described above. However, the operation control method is not necessarily limited to that described above, and the total amount of payment by the aggregator is minimized. As long as the combination of the types (operation control methods) of each consumer 200 is determined, other processing procedures may be used.
In addition, the above-described processing is mainly performed by the operation control determination unit 90, but may be performed by the customer selection unit 80, or may be performed in combination with each other. Another configuration means for executing the above may be provided.

  Note that the first, second, third, and fourth embodiments described above can be used in combination.

As described in the first, second, third, and fourth embodiments, different adjustment powers can be aggregated due to slight differences in configuration.
If the aggregator 30 can reach the power reduction amount from the power company 20 and can respond to the DR request, it can obtain a reward as an incentive, but cannot reach the power reduction amount. If the DR request cannot be responded, a penalty fee will be paid to the power company. For this reason, it is important to appropriately select the target consumer 200 and make a DR implementation plan (DR portfolio selection) that minimizes the risk of not reaching power reduction. As in the first, second, third, and fourth embodiments described above, it is possible to change the method of collecting the adjustment power by a slight difference, and various DR implementation plans can be formulated and executed. It becomes possible to do. As a result, the aggregator 30 can collect a large number of customers 200 that can support DR, and can flexibly respond to requests from the power company 20 including the planned implementation period of DR.

  Although the present invention has been described above using the embodiments, the present invention is not limited to the scope described in each embodiment. Various modifications or improvements can be added to the respective embodiments without departing from the gist of the present invention, and embodiments to which the modifications or improvements are added are also included in the technical scope of the present invention. For example, the processing order may be changed without departing from the scope of the present invention.

  In each embodiment, as an example, a description has been given of an embodiment in which various processes in the distributed power supply control device 40 as a control server are realized by software. However, processes equivalent to the flowcharts shown in FIGS. May be processed by hardware. In this case, the processing speed can be increased as compared with the case where each processing is executed by software.

  In the above-described embodiment, the distributed power supply control program is installed in the ROM. However, the present invention is not limited to this. The program can also be provided in a form recorded on a computer-readable recording medium. For example, the program may be provided in a form recorded on an optical disc such as a CD (Compact Disc) -ROM or a DVD (Digital Versatile Disc) -ROM. The program may be provided in a form recorded in a semiconductor memory such as a USB memory and a flash memory. Furthermore, the program may be acquired from an external device connected to the communication line via the communication line.

DESCRIPTION OF SYMBOLS 10 Distributed type power supply control system 20 Electric power company 30 Aggregator 40 Distributed type power supply control apparatus 41 Input apparatus 42 Display apparatus 43 Communication apparatus 44A CPU
44B ROM 44C RAM
44D non-volatile memory 45 I / O
46 Bus 47 Computer 47A Control means 60 Operation state grasping means 70 Operation state prediction means 71 Temporary baseline 72 Used power line 73 Adjusted baseline 74 Negative wattage 75 DR start 76 DR end 80 Customer selection means 90 Operation control decision means 100 Instruction means 200 Customer 210 Power management device 220 Storage battery 230 PV
240 CGS

Claims (7)

Installed in an aggregator that undertakes demand response as a measure to reduce power demand from power companies that supply power,
An operation state grasping means for grasping a current operation state of a distributed power source installed in each of a plurality of consumers;
In response to a request including the scheduled execution period of the demand response, based on past performance data regarding the operating state of the distributed power source for each consumer, for each consumer when it is assumed that the demand response is not performed. An operation state prediction means capable of predicting the operation state of the distributed power source in the scheduled execution period of the demand response;
Based on the operating state of the distributed power source during the demand response scheduled execution period predicted by the operating state predicting means, a consumer having the distributed power source that can be used as adjustment power for the demand response is selected. Consumer selection means;
The operation control method of the distributed power source that can be utilized as the adjusted power of the selected consumer based on the operation state of the distributed power source in the scheduled execution period of the demand response predicted by the operating state prediction unit Driving control determining means for determining
An instruction to instruct a power management device that manages the distributed power source of the selected consumer to execute the operation control method determined by the operation control determination means in the scheduled period of execution of the demand response. Means,
A distributed power supply control device comprising: The operation control determining means is
About the distributed power source that can be utilized as the regulated power of the selected consumer, the distributed power source during the preparation period from the request for the demand response to the start of the scheduled demand response period Further determining the operation control method;
The instruction means includes
The power management apparatus is further instructed to execute the operation control method of the distributed power source during the preparation period determined by the operation control determination unit. Distributed power controller. The operation control determining means is
3. The operation control method that is most advantageous for the consumer can be determined from the operation control methods using a single type or a combination of a plurality of types of distributed power sources. Distributed power control device. The operation control determining means is
Predetermined for each type of the distributed power source, based on the cost per unit power when used as the regulated power, the operation control method by the single or a combination of a plurality of types of the distributed power source 4. The distributed power control apparatus according to claim 3, wherein the operation control method that is most advantageous for a consumer is determined. The customer selection means includes
The customer is selected so that the total of the adjusted power procured for each consumer reaches the required adjusted power in the demand response request. 4. The distributed power supply control device according to 4. A power management device that is installed in each of a plurality of consumers and manages the distributed power of the consumers;
An operation state grasping means for grasping the current operation state of a distributed power source installed in each of a plurality of consumers, installed in an aggregator that undertakes a demand response as a measure for reducing power demand from a power company supplying electric power; In response to a request including an execution schedule period of the demand response, for each consumer when it is assumed that the demand response is not performed based on past performance data regarding the operating state of the distributed power source for each consumer. The operation state prediction means capable of predicting the operation state of the distributed power source during the scheduled execution period of the demand response, and the operation state of the distributed power source during the demand response execution period predicted by the operation state prediction means Based on the demand for having the distributed power source that can be used as the adjustment power for the demand response Based on the operation state of the distributed power source in the scheduled execution period of the demand response predicted by the operation state prediction unit and a consumer selection unit that selects a house, it is used as the adjusted power of the selected consumer The operation control determining means for determining a possible operation control method of the distributed power source, and the selected to execute the operation control method determined by the operation control determination means in the scheduled demand response execution period. An instruction means for instructing the power management device of a consumer, a distributed power control device comprising:
A distributed power supply control system comprising: By the distributed power supply control device according to claim 1, 2, 3, 4 or 5,
When the demand response from the power company is requested, the consumer having the distributed power source that can be used as the adjusted power is selected, and can be used as the adjusted power of the selected consumer. An operation control method for the distributed power source is determined, and the operation control method is executed in the demand response scheduled execution period for the power management device that manages the distributed power source of the selected consumer. A distributed power supply control method characterized by instructing.