CN117713256A - Net-structured control method and device, electronic equipment and storage medium - Google Patents
Net-structured control method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of power systems, and discloses a network construction control method, a network construction control device, electronic equipment and a storage medium, wherein the network construction control method comprises the following steps: detecting whether the voltage fluctuation of the energy storage system exceeds a fluctuation threshold value; if the voltage fluctuation exceeds the fluctuation threshold, calculating a voltage drop duration index and a voltage drop amplitude index; and calculating a voltage state sensing index by using the voltage continuous dropping time and the voltage dropping amplitude index, and selecting a corresponding net-structured energy storage reactive power output mode according to the voltage state sensing index to obtain a corresponding reactive power compensation value. The invention builds a typical energy storage system model based on an electromagnetic transient software simulation platform, carries out simulation verification on a network construction control method of self-adaptive dynamic reactive compensation based on virtual synchronous generator control, and results show that the network construction control method can improve reactive power output conditions of coupling point voltage surge, surge and continuous surge, solve the problem of non-ideal coupling point voltage reactive power supporting effect, and has good engineering application value.
Description
Technical Field
The present invention relates to the field of power systems, and in particular, to a network configuration control method, a network configuration control device, an electronic device, and a storage medium.
Background
The energy storage is connected in a network formation control mode, so that transient frequency/voltage support can be provided for a new energy unit, and the rotational inertia of the system is improved. And the network-structured energy storage is also beneficial to the improvement of the stability of the new energy system.
At the initial stage of energy storage, various net-forming control methods are proposed by students at home and abroad, and droop control based on a simulated synchronous generator operation mechanism and virtual synchronous generator control are more applied; in addition, nonlinear control methods such as matching control and virtual oscillator control have also received much attention.
However, because the parameters of the reactive power control link in the control of the typical virtual synchronous machine are fixed, the reactive power supporting capability is not sufficiently weakened continuously in the process of gradually reducing the voltage fluctuation degree, and the reactive power output by the power supply and the reactive power compensation equipment in the whole network, the reactive power consumed by the load and the reactive power loss of the network are kept in dynamic balance under the normal operation of the power system, the voltage is stable in a steady-state interval at the moment, and energy storage only needs to participate in the steady-state voltage regulation of the power grid when necessary under the voltage state; if the power grid breaks down to cause voltage drop, after the voltage is reduced to a certain critical value, the network-structured energy storage cannot judge the voltage change state due to larger reactive power shortage, so that the relay protection rapidly works to cut off the fault, the voltage cannot be restored to the normal interval, and even voltage breakdown occurs in severe cases.
Disclosure of Invention
The invention provides a network construction control method, which solves the problems that the judgment of the voltage change state and the reactive power shortage are not possible when the voltage fluctuates.
According to an aspect of the present invention, there is provided a method for controlling a mesh type, including: detecting whether the voltage fluctuation of the coupling point of the energy storage system exceeds a fluctuation threshold value; if the voltage fluctuation of the coupling point exceeds the fluctuation threshold, calculating a voltage drop duration index and a voltage drop amplitude index; and calculating voltage state sensing indexes according to the voltage continuous falling time and the voltage falling amplitude indexes, and selecting different network-structured energy storage reactive power output modes according to different voltage state sensing indexes to obtain corresponding reactive power compensation values.
Further, whether the voltage fluctuation of the coupling point of the energy storage system exceeds a fluctuation threshold value is detected, specifically: detecting the voltage amplitude of a coupling point of an energy storage system, comparing the voltage amplitude of the coupling point with a normal working voltage reference value, and accordingly obtaining the voltage fluctuation of the coupling point, wherein the fluctuation threshold is set according to the fluctuation amplitude of the normal working voltage, and if the voltage fluctuation of the coupling point does not exceed the fluctuation threshold, the network formation type energy storage is not executed.
Further, the calculation formula of the voltage drop duration index is as follows:
；
wherein T is d(t) For the voltage drop duration value, T min For the minimum duration of the voltage, T max Is the maximum value of the voltage duration;
the calculation formula of the voltage drop amplitude index is as follows:
；
wherein U is (t) For the coupling point voltage amplitude, U max 、U min 、U lim Is the upper interval value of the steady-state interval of the voltage, U min Is the interval value under the steady-state interval of the voltage, U lim Is the voltage breakdown threshold voltage.
Further, the calculation formula of the voltage state sensing index is as follows:
。
further, the method for selecting different network-structured energy storage reactive power output modes according to different voltage state sensing indexes comprises the following specific contents: sensing the index when the voltage stateWhen=0, the coupling point voltage fluctuation is between U min And U max The duration time of voltage drop is extremely short, the network-structured energy storage is not required to be subjected to reactive power support, and the network-structured energy storage is not executed at the moment; when the voltage state sensing index is +.>E (0, 50), the degree of urgency of dynamic reactive support and +.>The net-structured energy storage performs reactive compensation according to the following formula, and the calculation formula of the reactive compensation is as follows: />The method comprises the steps of carrying out a first treatment on the surface of the Wherein K is a reactive power regulation coefficient, Q 0 The energy storage reactive power output initial value; when the voltage state sensing index is +.>When=50, it indicates that the current grid is most likely to have voltage breakdown or has voltage breakdown, the emergency degree of dynamic reactive power support is highest, the network-structured energy storage performs reactive power compensation according to the allowed maximum reactive power, and the calculation formula of reactive power compensation is as follows: />。
Further, said voltage state sensing indicatorWhen E (0, 50), judging whether the power grid voltage starts to rise, if so, thenThe net-structured energy storage is not executed, and reactive compensation is not performed; and if the power grid voltage does not rise, carrying out reactive compensation by the network-structured energy storage.
Further, after the corresponding reactive compensation value is obtained, detecting whether the reactive compensation value exceeds the maximum value of the reactive compensation value of the energy storage converter, and if the reactive compensation value is smaller than or equal to the maximum value of the reactive compensation value, performing reactive compensation by the energy storage converter according to the reactive compensation value; and if the reactive compensation value is larger than the maximum value of the reactive compensation value, the energy storage converter performs reactive compensation according to the maximum value of the reactive compensation value.
According to another aspect of the present invention, there is provided a web-formed control apparatus including: the detection module is used for detecting whether the voltage fluctuation of the coupling point of the energy storage system exceeds a fluctuation threshold value; the processing module is used for calculating a voltage drop duration index and a voltage drop amplitude index, and calculating a voltage state sensing index according to the voltage drop duration index and the voltage drop amplitude index; and the execution module is used for selecting different network-structured energy storage reactive power output modes according to different voltage state sensing indexes and executing corresponding reactive power compensation.
According to another aspect of the present invention, there is provided an electronic apparatus including: at least one processor, and a memory communicatively coupled to the at least one processor;
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any one of the power generation prediction methods of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute any one of the power generation prediction methods of the embodiments of the present invention.
According to the technology disclosed by the invention, whether reactive compensation is performed or not is determined by detecting whether the voltage fluctuation of the coupling point of the energy storage system exceeds a fluctuation threshold value or not when the voltage drops due to the occurrence of faults of the power grid. If the voltage fluctuation of the coupling point exceeds the fluctuation threshold set by the control method, the power grid fault is severe, and the reactive power shortage of the alternating current circuit is large, so that the control method enables the network-structured energy storage to perform reactive power compensation, and the conditions that the voltage is difficult to recover to a normal value and voltage breakdown are avoided. When the voltage fluctuation exceeds the set fluctuation threshold value, the voltage drop severity is obtained by calculating the voltage drop duration index and the voltage drop amplitude index, the voltage drop condition is obtained according to the index value, the network-structured energy storage reactive power output mode which is adaptive to the voltage drop condition is selected, the reactive power compensation value which is adaptive to the power grid condition is output, the network-structured energy storage variable coefficient self-adaptive control is completed, the energy storage performs self-adaptive reactive power compensation, and reactive power autonomous support is realized. The transformation of the reactive power control link is beneficial to maintaining the stability of the power system, and the self-adaptive dynamic reactive power compensation meeting the voltage support requirement is realized according to the state of voltage change.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
The drawings are included to provide a better understanding of the present invention and are not to be construed as limiting the invention. Wherein:
FIG. 1 is a flow chart of a method of controlling a web formation according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a method of controlling a web formation according to an embodiment of the present invention;
FIG. 3 is a first functional effect diagram of a network configuration control method according to an embodiment of the present invention;
FIG. 4 is a second functional effect diagram of a method for controlling a web formation according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a network configuration control device according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an execution module of a network configuration control device according to an embodiment of the present invention;
fig. 7 is a schematic diagram of an electronic device according to an embodiment of the invention.
In the figure, 100, a network configuration control device; 11. a detection module; 12. a processing module; 13. an execution module; 131. judging and selecting a module; 132. a reactive power output module; 133. an output limiting module; 200. an electronic device; 201. a calculation unit; 202. a ROM; 203. a RAM; 204. a bus; 205. an I/O interface; 206. an input unit; 207. an output unit; 208. a storage unit; 209. and a communication unit.
Detailed Description
Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present invention are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a flowchart of a method for controlling a network configuration according to an embodiment of the present invention.
As shown in fig. 1 and fig. 2, an embodiment of the present invention discloses a network formation control method, which includes: s1, detecting whether the voltage fluctuation of a coupling point of an energy storage system exceeds a fluctuation threshold; s2, calculating a voltage drop duration index and a voltage drop amplitude index when the voltage fluctuation of the coupling point exceeds a fluctuation threshold value; s3, calculating voltage state sensing indexes according to the voltage continuous falling time and the voltage falling amplitude indexes, selecting different network-structured energy storage reactive power output modes according to different voltage state sensing indexes to obtain corresponding reactive power compensation values, and forming a self-adaptive control module by S1, S2 and S3.
The application discloses a network formation type control method. And detecting whether the voltage fluctuation of the coupling point of the energy storage system exceeds a fluctuation threshold value or not when the voltage drop is caused by the power grid faults, so as to determine whether reactive compensation is carried out or not. If the voltage fluctuation of the coupling point exceeds the fluctuation threshold set by the control method, the power grid fault is severe, and the reactive power shortage of the alternating current circuit is large, so that the control method enables the network-structured energy storage to perform reactive power compensation, and the conditions that the voltage is difficult to recover to a normal value and voltage breakdown are avoided. When the voltage fluctuation exceeds the set fluctuation threshold value, the voltage drop severity is obtained by calculating the voltage drop duration index and the voltage drop amplitude index, the voltage drop condition is obtained according to the index value, the network-structured energy storage reactive power output mode which is adaptive to the voltage drop condition is selected, the reactive power compensation value which is adaptive to the power grid condition is output, the network-structured energy storage variable coefficient self-adaptive control is completed, the energy storage performs self-adaptive reactive power compensation, and reactive power autonomous support is realized. The transformation of the reactive power control link is beneficial to maintaining the stability of the power system, and the self-adaptive dynamic reactive power compensation meeting the voltage support requirement is realized according to the state of voltage change. When the reactive compensation value adaptive to the power grid condition is output, whether the reactive compensation value exceeds the maximum value of the reactive compensation value of the energy storage converter is detected, so that the maximum value output of the adaptive reactive compensation value is limited, and the situation that the adaptive reactive compensation value is overlarge and is separated from the actual application condition is avoided.
The function of the grid-formed control method in the power grid of the energy storage system comprises the following steps: the system is provided with the functions of adapting to reactive power support, improving the grid-connected capability of new energy, participating in power peak shaving, guaranteeing short-time power supply during faults and the like. The energy storage converter is controlled by adopting a network construction control technology to adapt to reactive power support, so that the energy storage converter can quickly respond when the system is out of step and split, the stability of a first swing period of the system is improved, the active support system is recovered, the influence caused by harmonic waves and unbalanced voltages among power systems is weakened, the stability of a novel power system is improved, and the system power grid strength and the system frequency stability can be improved when new energy equipment is connected into a power grid.
Specifically, the network construction control method is applicable to the scene: when the power grid fluctuates, the grid-structured converter can adjust reactive power output by changing the phase or amplitude of the output voltage according to the control method, so that voltage support can be provided for the system, and the time delay of the voltage adjusting process is short and the response is quick. In the power system with high proportion of new energy, the strength of the system is reduced due to the reduction of synchronous generators, and the converter is more suitable to adopt a network control mode so as to reduce the frequency and voltage fluctuation of the system. The grid-connected converter realizes synchronization by means of a power synchronization method, does not depend on external power grid phase information, and can work in isolated grid and grid-connected modes.
Aiming at the fact that the network formation type energy storage can not realize the judgment of the voltage change state in the actual voltage change process, the invention provides the self-adaptive dynamic network formation type control method which has the advantages of fast sensing the voltage change and fast providing reactive power output. A typical energy storage system model is built on the basis of an electromagnetic transient software simulation platform, simulation verification is carried out on the provided self-adaptive dynamic reactive compensation network construction control method based on virtual synchronous generator control, and the result shows that the method can improve reactive power output conditions of coupling point voltage surge, surge and continuous surge, solve the problem that the coupling point voltage reactive power support effect is not ideal, and has good engineering application value.
In an alternative embodiment of the present invention, in S1, it is detected whether the coupling point voltage fluctuation of the energy storage system exceeds a fluctuation threshold, specifically: and detecting the coupling point voltage amplitude of the energy storage system, and comparing the coupling point voltage amplitude with a normal working voltage reference value to obtain coupling point voltage fluctuation, wherein a fluctuation threshold is set according to the normal working voltage fluctuation amplitude. The coupling point voltage amplitude of the detected energy storage system is compared with the normal working voltage reference value, so that coupling point voltage fluctuation is obtained, for example, when the power grid fails to cause voltage sag, the detected coupling point voltage amplitude is subtracted from the interval value in the steady-state interval of the normal working voltage, and the coupling point voltage fluctuation is obtained. The normal voltage fluctuation amplitude is obtained by subtracting the lower interval value from the upper interval of the steady-state interval of the normal working voltage, so that the fluctuation threshold value is obtained according to the normal voltage fluctuation amplitude.
In an alternative embodiment of the invention, the net-built energy storage is not performed if the coupling point voltage fluctuation does not exceed the fluctuation threshold. The voltage fluctuation of the coupling point does not exceed the fluctuation threshold surface, the voltage drop degree is low, the reactive power shortage is small, the fault is removed through relay protection fast action, the voltage can be restored to the normal interval, and reactive power compensation is not needed.
In an alternative embodiment of the present invention, in S2, the calculation formula of the voltage drop duration indicator is:
；
wherein T is d(t) For the voltage drop duration value, T min Is the minimum value of the duration of the voltage, T max Is the maximum value of the voltage duration. When the voltage drop duration time value is smaller than the voltage duration time minimum value, the voltage drop duration time value indicates that the voltage drop time is short, and the normal influence on the whole voltage is small, so that the voltage drop duration time index is assigned with the minimum value 0 under the condition; when the voltage drop duration is between the minimum value and the maximum value of the voltage duration, the voltage drop occurrence time is shown to have a great influence on the whole voltage, so that the voltage drop duration index is directly proportional to the voltage drop duration by using the linear positive correlation formula; when the voltage sag duration is greater than the maximum voltage duration, it is indicated that the voltage sag occurrence time has a great influence on the overall voltage, and the voltage sag occurs throughout the voltage duration, so that the voltage sag duration index is assigned a maximum value of 50 in this case.
In an alternative embodiment of the present invention, in S2, the calculation formula of the voltage drop amplitude indicator is:
；
wherein U is (t) To couple the voltage amplitude, U max 、U min 、U lim Is the upper interval value of the steady-state interval of the voltage, U min Is the interval value under the steady-state interval of the voltage, U lim Is the voltage breakdown threshold voltage. When the voltage amplitude of the coupling point is between the upper interval value and the lower interval value of the steady-state interval of the voltage, the voltage amplitude drop condition of the coupling point is indicated to belong to a normal range, so that the voltage drop amplitude index is assigned with a minimum value of 0 under the condition; when the voltage amplitude of the coupling point is between the voltage breakdown threshold voltage value and the interval value of the voltage under the steady-state interval, the abnormal voltage amplitude of the coupling point is indicated, the whole voltage is affected,but the voltage collapse is not caused, the voltage amplitude of the coupling point is subtracted by the interval value in the steady-state interval, so that the voltage amplitude of the coupling point is obtained, and the voltage amplitude of the coupling point is inversely proportional to the voltage amplitude of the coupling point by using the linear negative correlation formula because the voltage amplitude of the coupling point is positively correlated with the voltage amplitude index; when the voltage amplitude of the coupling point is smaller than the voltage collapse threshold voltage value, the voltage collapse is caused by the fact that the voltage drop is too large, so that the voltage drop amplitude index is assigned to be the maximum value 50 in the situation.
In an alternative embodiment of the present invention, in S3, the calculation formula of the voltage state sensing index is:
。
the voltage drop duration index and the voltage drop amplitude index are multiplied and divided by 50 to obtain a voltage state sensing index, the algorithm applies the equal weights of the voltage drop duration index and the voltage drop amplitude index to enable the voltage drop duration index and the voltage drop amplitude index to affect the voltage state sensing index equally, the maximum value of the voltage state sensing index is 50 when the voltage drop duration index and the voltage drop amplitude index are divided by 50, the maximum value of the voltage state sensing index is 50, the index measurement of the voltage drop duration index, the voltage drop amplitude index and the voltage state sensing index is similar, and the same numerical value represents similar severity.
As shown in fig. 3 and fig. 4, in an alternative embodiment of the present invention, different network-structured energy storage reactive power output modes are selected according to different voltage state sensing indexes, which specifically includes the following steps: sensing index when voltage stateWhen=0, it indicates that the voltage fluctuation at the coupling point is between U min And U max The voltage drop duration time is extremely short, the network-structured energy storage is not required to be subjected to reactive power support, and the network-structured energy storage is not executed at the moment; when the voltage state is sensed>E (0, 50), the degree of urgency of dynamic reactive support and +.>The values of the energy storage components are in direct proportion, the network energy storage performs reactive compensation according to the following formula, and the calculation formula of the reactive compensation is as follows:
wherein K is a reactive power regulation coefficient, Q 0 The energy storage reactive power output initial value;
sensing index when voltage stateWhen=50, it indicates that the current grid is most likely to have voltage breakdown or has voltage breakdown, the emergency degree of dynamic reactive power support is highest, the grid-constructed energy storage performs reactive power compensation according to the maximum allowed reactive power, and the calculation formula of reactive power compensation is as follows:
。
when the voltage state sensing index is equal to the minimum value 0, the voltage drop of the coupling point is normal or the voltage drop duration is extremely short, so that the voltage state of the power grid is good at the moment, reactive compensation is not required to be carried out on the grid-formed energy storage, and therefore the grid-formed energy storage is not executed; when the voltage state sensing index is larger than 0 and smaller than 50, the power grid voltage drop influence is larger, the emergency degree of the dynamic reactive power support is in direct proportion to the value of the voltage state sensing index, and the reactive power compensation value is represented by the positive correlation formula supplemented with the settable reactive power adjustment coefficient; when the voltage state sensing index is equal to the maximum value 50, the voltage drop duration index and the voltage drop amplitude index are equal to the maximum value 50, voltage collapse is most likely to occur or has occurred in the current power grid, the emergency degree of dynamic reactive power support is highest, and therefore the grid energy storage performs reactive power compensation according to the allowed maximum reactive power.
In an alternative embodiment of the present invention, the indicator is perceived as a voltage stateWhen E (0, 50), judging whether the power grid voltage starts to rise, if so, constructing the network to store energy, and not performing reactive compensation; and if the power grid voltage does not rise, carrying out reactive compensation on the grid-structured energy storage. And judging whether the power grid voltage starts to rise or not when the voltage state sensing index is larger than 0 and smaller than 50, so that the situation that the power grid voltage starts to rise and returns to normal is prevented, reactive compensation is performed, and the effective utilization rate of reactive compensation is increased.
As shown in fig. 2, in an alternative embodiment of the present invention, after obtaining the corresponding reactive compensation value, the adaptive control module formed by steps S1, S2 and S3 is ended, and then reactive compensation detection and judgment are performed in the power limiting module, where the power limiting module specifically includes: detecting whether the reactive compensation value exceeds the maximum value of the reactive compensation value of the energy storage converter, and if the reactive compensation value is smaller than or equal to the maximum value of the reactive compensation value, performing reactive compensation on the energy storage converter according to the reactive compensation value; and if the reactive compensation value is larger than the maximum value of the reactive compensation value, the energy storage converter performs reactive compensation according to the maximum value of the reactive compensation value. And selecting a corresponding reactive power output mode according to the voltage drop condition of the power grid, so as to output a corresponding reactive power compensation value. And detecting whether the corresponding reactive compensation value exceeds the maximum value of the reactive compensation value of the energy storage converter, so that the maximum value output of the adaptive reactive compensation value is limited, and the situation that the adaptive reactive compensation value is overlarge and is separated from the actual application is avoided.
When the power grid voltage fluctuates, the energy storage converter releases energy from the super capacitor to provide reactive compensation support for the load; when the load suddenly decreases in the power grid, the super capacitor is charged to restrain the voltage overshoot, the device plays a role of resisting peak instead of the local power grid, the safety and the reliability of the temporary power station system of the local power grid are greatly improved, and the device has the characteristics of quick response, energy conservation and environmental protection.
In an alternative embodiment of the invention, the voltage state sensing index is composed of a voltage drop duration index and a voltage drop amplitude index, and the energy storage variable coefficient reactive power control is completed by dividing the voltage state sensing index, so that the self-adaptive dynamic reactive power compensation of the network-structured energy storage is realized. The voltage state sensing indexes are divided into different sections, so that the voltage state sensing indexes in the different sections represent different voltage sag degrees and reactive compensation emergency degrees, the voltage state sensing indexes in the different sections are subjected to energy storage variable coefficient reactive control, and finally the corresponding dynamic reactive compensation is obtained according to the conditions of the voltage state sensing indexes, so that the self-adaptive dynamic reactive compensation of the network-structured energy storage is realized.
As shown in fig. 5 and 6, the mesh-type control device 100 may include:
the detection module 11 is configured to detect whether the voltage fluctuation of the coupling point of the energy storage system exceeds a fluctuation threshold, and if the voltage fluctuation of the coupling point does not exceed the fluctuation threshold, the network formation is not performed; if the voltage fluctuation of the coupling point exceeds the fluctuation threshold, the processing module 12 performs index calculation;
the processing module 12 is used for calculating a voltage drop duration index and a voltage drop amplitude index, and calculating a voltage state sensing index according to the voltage drop duration index and the voltage drop amplitude index;
the execution module 13, the execution module 13 includes a judgment selection module 131, a reactive output module 132 and an output limiting module 133, wherein the judgment selection module 131 is used for judging whether the power grid voltage starts to rise back and selecting different network-structured energy storage reactive output modes according to different voltage state sensing indexes: sensing index when voltage stateWhen the energy storage is=0, the net-structured energy storage is not executed; when the voltage state is sensed>When E (0, 50), judging whether the power grid voltage starts to rise, if so, constructing the network to store energy; if the power grid voltage starts not to rise, the reactive compensation calculation formula is as follows: />The method comprises the steps of carrying out a first treatment on the surface of the When the voltage state is sensed>When=50, the calculation formula of reactive compensation is: />；
The reactive power output module 132 is used for outputting corresponding reactive power compensation to the power grid according to a reactive power output mode;
the output limiting module 133 is configured to detect whether the reactive compensation output exceeds a maximum value of a reactive compensation value of the energy storage converter, and if the reactive compensation value is less than or equal to the maximum value of the reactive compensation value, the energy storage converter performs reactive compensation according to the reactive compensation value; and if the reactive compensation value is larger than the maximum value of the reactive compensation value, the energy storage converter performs reactive compensation according to the maximum value of the reactive compensation value.
The specific functions and examples of the modules and sub-modules of the apparatus in the embodiments of the present invention may be described with reference to the relevant descriptions of the corresponding steps in the foregoing method embodiments, which are not repeated herein.
In the technical scheme of the invention, the acquisition, storage, application and the like of the related user personal information all conform to the regulations of related laws and regulations, and the public sequence is not violated.
According to embodiments of the present invention, the present invention also provides an electronic device, a readable storage medium and a computer program product.
FIG. 7 shows a schematic block diagram of an example electronic device 200 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile apparatuses, such as personal digital assistants, cellular telephones, smartphones, wearable devices, and other similar computing apparatuses. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 7, the apparatus 200 includes a computing unit 201 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 202 or a computer program loaded from a storage unit 208 into a Random Access Memory (RAM) 203. In the RAM 203, various programs and data required for the operation of the device 200 can also be stored. The computing unit 201, ROM 202, and RAM 203 are connected to each other through a bus 204. An input/output (I/O) interface 205 is also connected to bus 204.
Various components in device 200 are connected to I/O interface 205, including: an input unit 206 such as a keyboard, a mouse, etc.; an output unit 207 such as various types of displays, speakers, and the like; a storage unit 208 such as a magnetic disk, an optical disk, or the like; and a communication unit 209 such as a network card, modem, wireless communication transceiver, etc. The communication unit 209 allows the device 200 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.
The computing unit 201 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of computing unit 201 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The calculation unit 201 performs the respective methods and processes described above, for example, a generated power prediction method. For example, in some embodiments, a method of generating power prediction may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 208. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 200 via the ROM 202 and/or the communication unit 209. When the computer program is loaded into the RAM 203 and executed by the computing unit 201, one or more steps of one of the generated power prediction methods described above may be performed. Alternatively, in other embodiments, the computing unit 201 may be configured to perform a method of generating power prediction in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present invention may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution disclosed in the present invention can be achieved, and are not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A web formation type control method, characterized by comprising:
detecting whether the voltage fluctuation of the coupling point of the energy storage system exceeds a fluctuation threshold value;
if the voltage fluctuation of the coupling point exceeds the fluctuation threshold, calculating a voltage drop duration index and a voltage drop amplitude index;
and calculating a voltage state sensing index according to the voltage drop duration index and the voltage drop amplitude index, and selecting different network-structured energy storage reactive power output modes according to different voltage state sensing indexes to obtain corresponding reactive power compensation values.
2. The method for controlling network formation according to claim 1, wherein the detecting whether the voltage fluctuation at the coupling point of the energy storage system exceeds a fluctuation threshold value is specifically:
detecting the voltage amplitude of a coupling point of an energy storage system, comparing the voltage amplitude of the coupling point with a normal working voltage reference value, and accordingly obtaining the voltage fluctuation of the coupling point, wherein the fluctuation threshold is set according to the fluctuation amplitude of the normal working voltage, and if the voltage fluctuation of the coupling point does not exceed the fluctuation threshold, the network formation type energy storage is not executed.
3. The method for controlling a web formation according to claim 1, wherein,
the calculation formula of the voltage drop duration index is as follows:
；
wherein T is d(t) For the voltage drop duration value, T min Is the minimum value of the duration of the voltage, T max Is the maximum value of the voltage duration;
the calculation formula of the voltage drop amplitude index is as follows:
；
wherein U is (t) For the coupling point voltage amplitude, U max 、U min 、U lim Is the upper interval value of the steady-state interval of the voltage, U min Is the interval value under the steady-state interval of the voltage, U lim Is the voltage breakdown threshold voltage.
4. The method according to claim 3, wherein the calculation formula of the voltage state sensing index is:
。
5. the method of claim 4, wherein the selecting different network-forming energy storage reactive power output modes according to different voltage state sensing indexes comprises the following specific contents:
sensing the index when the voltage stateWhen=0, the coupling point voltage fluctuation is between U min And U max The duration time of voltage drop is extremely short, the network-structured energy storage is not required to be subjected to reactive power support, and the network-structured energy storage is not executed at the moment;
sensing the index when the voltage stateE (0, 50), the degree of urgency of dynamic reactive support and +.>The net-structured energy storage performs reactive compensation according to the following formula, and the calculation formula of the reactive compensation is as follows:
；
wherein K is a reactive power regulation coefficient, Q 0 The energy storage reactive power output initial value;
sensing the index when the voltage stateWhen=50, it indicates that the current grid is most likely to have voltage breakdown or has voltage breakdown, the emergency degree of dynamic reactive power support is highest, the network-structured energy storage performs reactive power compensation according to the allowed maximum reactive power, and the calculation formula of reactive power compensation is as follows:
。
6. according to the weightsThe method of claim 5, wherein the voltage state sensing indexWhen E (0, 50), judging whether the power grid voltage starts to rise, if so, not executing the network-structured energy storage and not performing reactive compensation; and if the power grid voltage does not rise, carrying out reactive compensation by the network-structured energy storage.
7. The grid formation control method according to claim 1, wherein after the corresponding reactive compensation value is obtained, it is detected whether the reactive compensation value exceeds a maximum value of reactive compensation values of an energy storage converter, and if the reactive compensation value is smaller than or equal to the maximum value of reactive compensation values, the energy storage converter performs the reactive compensation according to the reactive compensation value; and if the reactive compensation value is larger than the maximum value of the reactive compensation value, the energy storage converter performs reactive compensation according to the maximum value of the reactive compensation value.
8. A web-formed control device, comprising:
the detection module is used for detecting whether the voltage fluctuation of the coupling point of the energy storage system exceeds a fluctuation threshold value;
the processing module is used for calculating a voltage drop duration index and a voltage drop amplitude index, and calculating a voltage state sensing index according to the voltage drop duration index and the voltage drop amplitude index;
and the execution module is used for selecting different network-structured energy storage reactive power output modes according to different voltage state sensing indexes and executing corresponding reactive power compensation.
9. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
10. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-7.
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