KR20110057559A - A method and an apparatus for managing an energy on smart power supply network - Google Patents

Abstract

PURPOSE: An energy management method and apparatus thereof are provided to minimize cost in intelligent power supply network and to efficiently manage energy. CONSTITUTION: An energy supply part includes a plurality of power supplies. An energy measurement part acquires power consumption information from an energy consumption part. An energy management part determines a power consumption mode based on power supply information that is supplied from the energy supply part. The energy consumption part consumes power based on the power consumption mode that is transmitted from an energy management system.

Description

A method and apparatus for managing an energy on smart power supply network

The present invention relates to an energy management method and apparatus in an intelligent power supply network.

The power grid of our country is a centralized, centralized network of producers controlled. In addition, based on the usage-based rate system as an electric rate system, voltage and time-based rate systems are added to it, and a progressive system is applied to the residential use. In addition, a midnight power system is in operation to disperse power demand concentrated at specific times. However, the global system of preventing global warming, lack of countermeasures for rising energy raw material prices, suppression of energy consumption and stable supply of power cannot be solved under such a power system.

Therefore, in order to improve the efficiency of the power industry through the establishment of a two-way information transmission system between consumers and suppliers away from the current power system, it is necessary to develop an intelligent power system. Storage devices and distributed power supplies can be networked to enable interaction between consumers and suppliers. Furthermore, there is a need for the construction of intelligent power systems that allow consumers to control their own power needs, and the development of intelligent devices capable of bidirectional communication with such systems.

An object of the present invention is to provide a more efficient energy management method in an intelligent power supply network.

In addition, the present invention is to provide a method of selecting a power source that can minimize the cost among a plurality of power sources.

In addition, the present invention is to provide a method for selecting a power supply source that can increase the energy efficiency among the plurality of power sources.

In addition, the present invention is to provide an intelligent device that can select a power supply that can minimize the cost.

In addition, the present invention is to provide a system for performing an efficient energy management method.

The present invention provides an energy supply part comprising a plurality of power supply sources; An energy measurement part for obtaining power consumption information of each power consumption unit from the energy consumption part; An energy management part that determines a power consumption mode based on at least one of power supply information provided from the energy supply part and power consumption information provided from the energy measurement part; And an energy consumption part for consuming power supplied from the energy supply part based on a power consumption mode transferred from an energy management system, wherein the power consumption information includes instantaneous power consumption information, cumulative power consumption information, and cycles. And at least one of power consumption information, wherein the power supply information includes at least one of supplyable power amount information, power charge information, power quality information, and supplyable time information, and the power consumption mode includes a real-time lowest charge mode and duration. It provides an energy management system in an intelligent power supply network, characterized in that it comprises a per charge lowest charge mode.

Further, in the present invention, when the power consumption mode indicates the lowest charge mode per period, the energy management part includes a measuring unit for checking the amount of power (P) available for a certain period (T); A power consumption pattern is predicted for a predetermined period T based on the power consumption information per t1 calculated from the stored power consumption information, and for a predetermined period T according to the predicted power consumption pattern. and calculating the predicted power consumption (P _pred), it characterized in that it includes a processing for selecting a power source by comparing the amount of power (P) and the predicted power consumption (P _pred).

In the present invention, the processing unit, when the predicted power consumption (P _pred ) is greater than the power (P), characterized in that for selecting at least one other power supply in addition to the main power supply.

In the present invention, the processing unit, when the predicted power consumption amount (P _pred ) is less than or equal to the power amount (P), characterized in that for selecting only the main power supply of the plurality of power supply.

Further, in the present invention, the power consumption information of the selected power supply is updated to calculate power consumption information per second sampling period (t2).

Also, in the present invention, when the power consumption mode indicates the real-time lowest charge mode, the energy management part includes a processing unit for comparing the real-time power charge information of each power supply to select the lowest charge power supply source It features.

In addition, in the present invention, the plurality of power sources include a main power supply and an auxiliary power supply, the main power supply indicates a power supply supplied from a power plant, the auxiliary power supply is renewable energy, hybrid electric vehicle, At least one of an energy storage and a fuel cell.

In addition, the present invention, communication unit for searching for a power supply source available from a plurality of power supply; An interface unit configured to receive identification information of the plurality of usable power sources when the plurality of usable power sources exist; A measuring unit for checking a power amount P available for a predetermined period T from each power supply source identified by the identification information; A power consumption pattern is predicted for a predetermined period T based on the power consumption information per t1 calculated from the stored power consumption information, and for a predetermined period T according to the predicted power consumption pattern. predictive power consumption processing unit for selecting a power source by calculating the (P _pred), comparing the amount of power (P) and the predicted power consumption (P _pred); It provides an energy management device in an intelligent power supply network comprising a.

Through the present invention, it is possible to more efficiently manage energy in the intelligent power supply network by selecting a power supply source that can minimize costs. In addition, users can minimize costs by selecting a power source based on power information provided in real time, and use energy efficiently. And, by selecting the operation mode of the electric device, it is possible to control the power consumption more efficiently. In addition, energy can be managed more efficiently by predicting a power consumption pattern over a period of time and using power based on the predicted information. In addition, as the power consumption information continues to accumulate in the data storage unit, the accuracy of the predicted power consumption may be improved, and thus, efficient power consumption may be possible.

The above objects and features of the construction will become more apparent from the following detailed description taken in conjunction with the accompanying drawings. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

In addition, the terms used in the present invention was selected as a general term widely used as possible now, but in some cases, the term is arbitrarily selected by the applicant, in which case the meaning is described in detail in the description of the invention, It is to be understood that the present invention is to be understood as the meaning of terms rather than the names of terms.

1 shows a schematic diagram of an intelligent power supply network as an embodiment to which the present invention is applied.

The intelligent power supply network 100 may be configured of at least one local area network or global area network. Examples of the local area network include a power network 110 for a power plant that can share power information between power plants, a home power network 130 that can share power information between electric appliances in a home, and an electric appliance in an office. The office power network 130 that can share the power information between them, or the central control network 120 that can control the power information between the local area, and the like. The global area network may mean a network including at least two local area networks, and may be understood as a relative concept corresponding to a local area network.

Referring to FIG. 1, as an example of the intelligent power supply network 100 to which the present invention is applied, the intelligent power supply network 100 may include a power network 110 for a power plant 110, a central control network 120, and at least one home / office. Office power network 130.

The power network 110 for a power plant may include a power plant that generates power through thermal power generation, nuclear power generation or hydroelectric power generation, and a solar power plant using wind or wind power as renewable energy. Power generated from thermal, nuclear, or hydropower plants is sent to substations via transmission lines, and the substations distribute the power to demand in home / office power networks by changing the nature of the voltage or current. In addition, electric power produced by renewable energy is also sent to substations and distributed to each customer.

In the case of the home electric power network 130, even at home, electricity can be produced and consumed through fuel cells mounted in solar power or a plug-in hybrid electric vehicle (PHEV), and the remaining electric power is used in another local area network. It can also be supplied or sold at. In each local area network, an energy measuring device is provided so that power and electricity rates used in each demand source can be grasped in real time. You can find ways to reduce power consumption and electricity bills. In addition, bidirectional communication is possible between local area networks or between units within a local area network, and bidirectional communication between a unit in one local area network and a unit in another local area network is also possible. Here, the unit may include a power plant, an electric company, a distributed power supply, an energy management system, an energy measurement system, an intelligent device, or an electric device. For example, bidirectional communication is possible between the power network 110 for the power plant 110 and the home power network 130, and bidirectional communication between electric appliances in the home power network 130 is also possible. Alternatively, bidirectional communication between a power plant in the power plant 110 for the power plant and an energy management system in the home power network 130 is also possible. Therefore, by monitoring and managing the power consumption status of each customer, it is possible to adaptive electricity production and electricity distribution.

The intelligent power supply network may include an energy management system (EMS). The energy management system refers to a system for managing an energy control device by using an energy management program. Examples of the energy control device include an automatic temperature control device, a cable set-top box, an intelligent display device, or an automatic equalization control device. The energy management system may manage the power of each demand source in real time through communication with the energy control device, and may also be able to predict the required power based on the accumulated data. The energy management system may be set up for each demand source or supply source, or may be set up for each local area network or each global area network.

In addition, the intelligent power supply network may include an energy metering system. The energy measurement system refers to a system for measuring energy usage and collecting and analyzing information on energy usage from measuring instruments. Examples of the measuring device may include an electricity meter, a gas meter, a water meter, and the like.

The energy management system and the energy metering system enable consumers to efficiently use electricity, and provide power providers with the ability to detect problems on the system and operate the system efficiently.

For example, a real-time price signal of the power market is relayed through an energy management system installed in each home, and the energy management system communicates with and controls each electric device so that the user can control the power of each electric device through the energy management system. By recognizing the information and performing the power information processing such as the amount of power consumption or the electric charge limit setting based on the information, energy and cost can be saved.

2 shows an embodiment of the present invention to which the home power network 130 is constructed.

The home power network 130 may correspond to one local area network in the intelligent power supply network. The home power network 130 may bi-directionally communicate with other local area networks in the intelligent power supply network, and may independently supply energy, consume, store, survey, manage, and communicate with each other. The home power network 130 may be largely composed of an energy supply part, an energy consumption part, an energy measurement part, and a local energy management system, and for general management of components in the home power network 130 through an air channel. Information can be received. For example, the information that can be received through the over-the-air channel includes unit identifier information, current rate information, relative level information of the current rate (eg, high, medium, low), usage information (eg, , Residential, commercial), and error checking information (eg, CRC information). In addition, the broadcast receiving module for receiving the airwave channel may include: Digital Multimedia Broadcasting-Terrestrial (DMB-T), Digital Multimedia Broadcasting-Satellite (DMB-S), Media Forward Link Only (MediaFLO), and Digital Digital Broadcasting (DVB-H) Video Broadcast-Handheld), ISDB-T (Integrated Services Digital Broadcast-Terrestrial), and the like. Meanwhile, the information obtained from the energy measurement part may be transmitted to an external energy measurement system, and the information obtained from the local energy management system may be transmitted to an external global energy management system or another local energy management system.

The energy supply part serves to supply power to all units in the home power network 130 and may include a distributed power source, a hybrid electric vehicle, a solar fuel cell, a load control device, and an energy storage. Distributed power may refer to power provided from other power sources, such as other local area networks or self-powered sources (hybrid electric vehicles, solar fuel cells) other than power provided from existing power plants. The distributed power source, hybrid electric vehicle, solar fuel cell, etc. can produce and store electricity on their own, and can also provide electricity to other local area networks. The load control device serves to control devices consuming power in the home power network 130. In addition, the energy store stores energy provided from an external power source and distributes energy to units in the home power network 130 when necessary.

The energy consumption part consumes energy provided from the energy supply part based on a command transmitted from a local energy management system, and may include a home appliance, an automatic temperature control device, a cable set-top box, an automatic equalization control device, and the like. have.

The energy measurement part is connected to the energy supply part or energy consumption part to measure energy usage, collect and analyze information on energy use, and may include an electric meter, a gas meter, and a water meter. Information obtained from the energy metering part may be transmitted to the energy metering system.

All units in the home network are capable of bidirectional communication with each other, and may include an intelligent device or an energy management program for energy management. Hereinafter, the intelligent device will be described with reference to FIG. 3, and the energy management method that can be implemented by the intelligent device will be described in detail with reference to FIGS. 4 to 5.

3 is an embodiment to which the present invention is applied and shows a schematic internal block diagram of an intelligent device.

The intelligent device includes a control unit 310, a measuring unit 320, a processing unit 330, an interface unit 340, and a communication unit 350.

The controller 310 controls the intelligent device by the input signal. For example, the controller 310 may control the on / off of the electrical load, or control the on / off of the electrical load according to the setting of the time interval. The controller 310 may also control more precisely according to a user's setting within a preset threshold. In addition, the controller 310 may limit the operation mode based on a threshold value, a set value, or a price point. For example, when a certain price point is reached while operating in the standard mode, the standard mode may be restricted and the mode may be switched to the saving mode. As such, the controller 310 outputs a control command that is optimal for efficient power consumption based on the input information received from the interface unit 340.

The measurement unit 320 measures and monitors power state information of the device. The power state information of the corresponding device refers to information representing the power state of the unit constituting the intelligent power supply network, wherein the unit is a power plant, an electric company, a distributed power supply, an energy management system, an energy measurement system, an intelligent device Or electric appliances and the like. The power state information may include instantaneous power demand, cumulative power consumption, cumulative power production, power consumption per cycle, power production per cycle, or allowable power.

In addition, the measurement unit 320 is a current energy state (for example, energy consumption per hour or current charge state), the current state of the device (for example, during operation, standby, maintenance), operating mode state (E.g., charging, in use), quality of power (e.g., frequency, neutral voltage, harmonic state), environmental state (e.g., temperature, humidity, movement, wind, light intensity) and environment The potential impacts (eg CO ₂ emissions) can be monitored. The power state information measured by the measuring unit 320 may be output to the control unit 310 or the processing unit 330 or transmitted to another intelligent device through the communication unit 350.

The processing unit 330 calculates energy consumption information using the power state information received from the measuring unit 320. The energy consumption information refers to general information necessary for managing the energy consumption of the user. Examples of the energy consumption information include energy costs of cumulative energy consumption, energy costs of instantaneous power consumption, energy costs per hour, and hierarchy. Energy cost for rate tiers / energy blocks, energy cost for time-of-use energy rates, and cost for critical peak pricing , Cost for Capacity billing rates, costs based on billing factors (e.g. taxes, rentals, discounts), costs based on user-defined parameters, costs based on cycle history, history on cycles. Power output / consumption, or environmental impact information (eg, carbon dioxide emissions, CO2 emission forecasts). The calculated energy consumption information may be displayed through the interface unit 340 or transmitted to another intelligent device through the communication unit 350.

The interface unit 340 transmits the information input from the user to the control unit 310, the measuring unit 320 or the processing unit 330, or the control unit 310, the measuring unit 320 and the The information output from the processing unit 330 is displayed. For example, the interface unit 340 may display display information indicating an operation state of the corresponding device, and display reset information for initializing and setting the corresponding device. In addition, the interface unit 340 may process non-visual sensing information (for example, movement, vibration, and sound), and may display only information by user setting. In addition, the interface unit 340 may provide alarm information (for example, an alarm for notifying the marginal price information, an event message), and detailed information of the corresponding device (for example, device type, model name, and basic setting). , Battery life).

The communication unit 350 may be configured by wire or wirelessly, and may transmit information output from the control unit 310, the measuring unit 320, and the processing unit 330 to another intelligent device, or from another intelligent device. The transmitted information is transmitted to the controller 310, the measurement unit 320, the processing unit 330, and the interface unit 340.

As such, the internal structure of the intelligent device may be included in all units constituting the intelligent power supply network, or may be included in a separate device and coupled to the units. In addition, the intelligent device may be provided in the form of a portable terminal, and transmits and receives a wireless signal with at least one of a base station, an external terminal, and a server on a mobile communication network. Examples of the portable terminal include a mobile phone, a smart phone, a notebook computer, a digital broadcasting terminal, a personal digital assistant (PDA), a portable multimedia player (PMP), navigation, and the like. In addition, short-range communication technology may be applied to the mobile terminal, and short-range communication technology may include Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), and ZigBee. Can be used. Hereinafter, an energy management method that can be executed by the intelligent device will be described in detail.

FIG. 4 is a flowchart illustrating a method of comparing power consumption information to select a power supply as an embodiment to which the present invention is applied.

Electrical devices that use electricity in an intelligent power supply network may be powered from a power source within that local network or a power source within another local network. For example, an electrical device in a home power network may be supplied with central power supplied from a power network for a power plant in a conventional manner, but since the intelligent power supply network has various distributed power sources, the electrical device in the home power network may be used. In addition to the central power may be supplied with power from other distributed power sources. As a specific example, self-produced power may be supplied from a fuel cell mounted in a renewable fuel cell, a solar cell, or a plug-in hybrid electric vehicle (PHEV) in a home, or another local area network (e.g., , Other home power networks, office power networks).

Since there are various power sources in the intelligent power supply network, the user can monitor the real-time power information of each power supply to select the power supply that is most suitable for them. Here, the power supply source includes not only a case of producing and supplying power, but also a case of preserving and supplying power supplied from another producer. For example, the power supply may include a power plant, an electric company, a fuel cell, an electric vehicle, or a power storage device. Examples of the real-time power information may include power amount information that can be supplied, power rate information, power quality information, or time information that can be supplied. In this case, priority may be set in the process of comparing the power information. For example, the power rate information may be set as reference information of the highest priority. Here, the power fee information may include various fee information. For example, there may be an hourly power fee, a power fee per period, a current power fee, a power fee by quality class, and the like. Therefore, the user can compare the current real-time power information of each power supply and analyze the power supply that is most suitable for the current user can be efficient power consumption.

On the other hand, electric devices that use electricity in the intelligent power supply network consume power as efficiently as possible considering both external and internal environments. To this end, the electrical devices must be able to operate adaptively by various modes of operation. For example, the various operation modes may include a standard mode, a power saving mode, a rate saving mode, and the like, and the rate saving mode may include a real-time lowest rate mode and a lowest rate mode per period according to an application criterion.

The operation modes may be set individually according to unique characteristics of each electric device, or may be set in a group unit having a common characteristic, or in a local area network unit. For example, short-term use products such as air conditioners, washing machines, ovens, and dryers, and long-term use products such as refrigerators, computers, and lighting fixtures may have different operating times, and thus different operating modes may be set. In the case of a refrigerator, a standard mode may be set because a stable power should be supplied for a long time, and in the case of a washing machine, a standard power supply may be set, and thus, the refrigerator may be set in a charge saving mode. Here, the standard mode may be used by setting the power supplied from the power network for the power plant as the main power supply.

In a first embodiment, the real-time lowest charge mode is a mode that selects the lowest charge power supply by comparing real-time charge information of each power supply when there are at least two power supplies, and uses the power supplied from the lowest charge power supply. Means. For example, current charge information of each power supply may be compared to select a power supply that supplies the cheapest power.

In a second embodiment, the lowest fee mode per period is a mode of predicting a power consumption pattern for a predetermined period based on the existing power consumption information, and calculating the lowest price per period according to the predicted power consumption pattern. First, the amount of power P available for a certain period T in the future or the amount of power P corresponding to a certain rate may be set by the user (S510). For example, assuming that there is one main power source, if you set the amount of power available for a month (1000kw), or you can use it within a certain price limit (KRW 50,000) per month. There may be times when you have set a certain fee. In this case, the power consumption information per sampling period t _n may be calculated from the existing power consumption information stored in the data storage unit (S520). Where n = 0,1,2,... , t _o Can be set to 0. In operation S530, the power consumption pattern may be predicted for a predetermined period Tt _n based on the power consumption information per sampling period t _n . The predicted period of time constant from the power consumption pattern during the _(n Tt) period is possible to calculate the predicted power consumption (P1 _{_n pred)} for the (Tt _n) (S540). Comparison of the amount of power (PP _n) and the predicted power consumption (P1 _{pred_n)} set by the user (S550), or amount of power set by the user (PP _n) is greater than the predicted power consumption (P1 _{pred _n)} In the same case, only the main power supply can be used without using another distributed power source (S560). Here, P _n represents the amount of power used during the sampling period t _n , and may be set to P ₀ = 0. On the other hand, when the amount of power PP _n set by the user is smaller than the predicted power consumption P1 _{pred _n} , at least one other power source other than the main power source may be used (S570). In this case, a power supply different from the main power supply may be used according to a predetermined ratio or order.

In addition, the main power supply after using for (or other power source), the sampling period (t _n), the power consumption information (P1) during the sampling period (t _n) is transferred to the said data storage conventional Update power consumption information. The power consumption information per sampling period t _{n +1} may be calculated again based on the updated power consumption information. The power consumption pattern for the remaining time period Tt _{n +1} may be predicted based on the power consumption information per sampling period t _{n +1} calculated again. Predictive power consumption (P1 _{pred _n + 1)} for the remainder of example cheukdoen (Tt _{n +1)} the remaining time (Tt _{n +1)} from the power consumption pattern during the can again be calculated. Here, T = T-t _n is updated. Similarly, the remaining power amount PP _{n +1} after the first sampling period t _n and the predicted power consumption P1 _{pred_n + 1} for the remaining time period Tt _{n +1} are compared to determine which power source to use. Can be. The above process may be repeatedly performed, and as the power consumption information accumulates in the data storage unit, the accuracy of the predicted power consumption may be improved, thereby enabling efficient power consumption.

In addition, the energy management method to which the present invention is applied may be stored in a computer-readable recording medium that is produced as a program for execution on a computer, and data having a data structure according to the present invention may also be read by a computer. Can be stored in. The computer readable recording medium includes all kinds of storage devices in which data that can be read by a computer system is stored. Examples of the computer-readable recording medium include a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like, and may be implemented in the form of a carrier wave (for example, transmission via the Internet) . In addition, the bitstream generated by the energy management method to which the present invention is applied may be stored in a computer-readable recording medium or transmitted using a wired / wireless communication network.

As described above, although the present invention has been described by means of a limited embodiment and drawings, the present invention is not limited by this and the technical spirit of the present invention and the following by those skilled in the art to which the present invention pertains. Of course, various modifications and variations are possible within the scope of equivalents of the claims to be described.

1 shows a schematic diagram of an intelligent power supply network as an embodiment to which the present invention is applied.

Figure 2 is an embodiment to which the present invention is applied and shows a structure of a home power network.

3 is an embodiment to which the present invention is applied and shows a schematic internal block diagram of an intelligent device.

FIG. 4 is a flowchart illustrating a method of comparing power consumption information to select a power supply as an embodiment to which the present invention is applied.

Claims (10)

An energy supply part consisting of a plurality of power supply sources; An energy measurement part for obtaining power consumption information of each power consumption unit from the energy consumption part; An energy management part that determines a power consumption mode based on at least one of power supply information provided from the energy supply part and power consumption information provided from the energy measurement part; And An energy consumption part that consumes power based on a power consumption mode transferred from an energy management system to the power supplied from the energy supply part ≪ / RTI > The power consumption information includes at least one of instantaneous power consumption information, cumulative power consumption information, and power consumption information per cycle, The power supply information includes at least one of supplyable power amount information, power charge information, power quality information, and supplyable time information. The power consumption mode includes a real-time lowest charge mode and the lowest charge mode per period, the energy management system in the intelligent power supply network. The energy management part of claim 1, wherein when the power consumption mode indicates the lowest charge mode per period, A measuring unit which checks the amount of power P available for a predetermined period T; A power consumption pattern is predicted for a predetermined period T based on the power consumption information per t1 calculated from the stored power consumption information, and for a predetermined period T according to the predicted power consumption pattern. predictive power consumption processing unit for selecting a power source by calculating the (P _pred), comparing the amount of power (P) and the predicted power consumption (P _pred); Energy management system in an intelligent power supply network comprising a. The method of claim 2, wherein the processing unit, If the predicted power consumption (P _pred ) is greater than the power (P), the energy management system in the intelligent power supply network, characterized in that further selecting at least one other power supply in addition to the main power supply. The method of claim 2, wherein the processing unit, When the predicted power consumption (P _pred ) is less than or equal to the power (P), the energy management system in the intelligent power supply network, characterized in that selecting only the main power supply of the plurality of power supply. The method according to claim 3 or 4, Power consumption information of the selected power supply is updated to calculate power consumption information per second sampling period (t2). The method of claim 1, If the power consumption mode indicates the real time lowest charge mode, the energy management part, Processing unit to select the lowest power supply by comparing the real-time power charge information of each power supply Energy management system in an intelligent power supply network comprising a. The method of claim 1, The plurality of power sources includes a main power source and an auxiliary power source, wherein the main power source represents a power source supplied from a power plant, and the auxiliary power source is a renewable energy, hybrid electric vehicle, energy storage, fuel cell. At least one energy management system in an intelligent power supply network. A communication unit searching for an available power supply source among the plurality of power supply sources; An interface unit configured to receive identification information of the plurality of usable power sources when the plurality of usable power sources exist; A measuring unit for checking a power amount P available for a predetermined period T from each power supply source identified by the identification information; A power consumption pattern is predicted for a predetermined period T based on the power consumption information per t1 calculated from the stored power consumption information, and for a predetermined period T according to the predicted power consumption pattern. predictive power consumption processing unit for selecting a power source by calculating the (P _pred), comparing the amount of power (P) and the predicted power consumption (P _pred); Energy management device in an intelligent power supply network comprising a. The method of claim 8, wherein the processing unit, And when the predicted power consumption amount P _pred is greater than the power amount P, selecting at least one other power source in addition to the main power source. The method of claim 8, wherein the processing unit, And when the predicted power consumption amount (P _pred ) is less than or equal to the power amount (P), select only a main power supply source among the plurality of power supplies.

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