Control method and device suitable for distributed electrochemical energy storage power station

Abstract

The present invention provides a control method and device suitable for distributed electrochemical energy storage power stations, which can be applied to the field of energy storage power supply control technology. The control method includes: determining the distance between each of multiple energy storage power stations and the target power consumption area in the distributed electrochemical energy storage power station system; based on the distance between the energy storage power station and the target power consumption area, determining the position control factor of each of the multiple energy storage power stations, the position control factor characterizes the degree of loss of electric energy due to the transmission distance; based on the state of charge parameters of each of the multiple energy storage power stations, determining the state control factor of each of the multiple energy storage power stations, the state control factor characterizes the degree of influence of the remaining capacity of the battery on the power supply; and based on the power demand data of the target power consumption area, the position control factors of each of the multiple energy storage power stations and the state control factors of each of the multiple energy storage power stations, regulating the power supply of each of the multiple energy storage power stations to obtain the power supply distribution data of each of the multiple energy storage power stations.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, in particular to the field of energy storage power supply control technology, and more specifically to a control method and device suitable for a distributed electrochemical energy storage power station. Background Art

[0002] With the proposal of the "dual carbon" goal, clean energy, led by wind and solar, has shown a doubling trend. Due to the uncertainty and intermittency of wind and solar, as the proportion of distributed power generation continues to increase, the active network loss and voltage fluctuation risks of the active distribution network are also increasing, causing power flow reversal and overload of power transmission and transformation equipment, increasing the difficulty of controlling power transmission and transformation power flow within the power grid division. Electrochemical energy storage has efficient and flexible two-way regulation capabilities, which effectively promotes energy balance and transmission in different time periods.

[0003] In the process of realizing the concept of the present invention, the inventors found that there are at least the following problems in the related technology: there are many influencing factors of the distributed electrochemical energy storage power station system, the coordination and scheduling of the distributed electrochemical energy storage power station system is complex, and there is currently a lack of effective control means. Summary of the invention

[0004] In view of this, the present invention provides a control method and device suitable for a distributed electrochemical energy storage power station.

[0005] One aspect of the present invention provides a control method applicable to a distributed electrochemical energy storage power station, the control method comprising: determining the distance between each of a plurality of energy storage power stations and a target power consumption area in a distributed electrochemical energy storage power station system; determining the position control factor of each of the plurality of energy storage power stations based on the distance between the energy storage power station and the target power consumption area, wherein the position control factor characterizes the degree of loss of electric energy due to the transmission distance; determining the state control factor of each of the plurality of energy storage power stations based on the state of charge parameters of each of the plurality of energy storage power stations, wherein the state control factor characterizes the degree of influence of the remaining capacity of the battery on the power supply; and controlling the power supply of each of the plurality of energy storage power stations based on the power demand data of the target power consumption area, the position control factors of each of the plurality of energy storage power stations, and the state control factors of each of the plurality of energy storage power stations to obtain power supply distribution data of each of the plurality of energy storage power stations.

[0006] According to an embodiment of the present invention, based on the distance between the energy storage power station and the target power consumption area, determining the location control factor of each of the plurality of energy storage power stations includes:

[0007] The location control factor of the energy storage power station is determined based on the distance between the energy storage power station and the target power consumption area and the relationship fitting curve between the distance and the location control factor.

[0008] According to an embodiment of the present invention, based on the state of charge parameters of the plurality of energy storage power stations, the state control factors of the plurality of energy storage power stations are determined, including:

[0009] Based on the state of charge parameter of the energy storage power station and the relationship fitting curve between the state of charge parameter and the state control factor, the state control factor of the energy storage power station is determined, wherein the relationship fitting curve between the state of charge parameter and the state control factor is a quadratic function curve.

[0010] According to an embodiment of the present invention, the power demand data includes a total power value, and the power supply allocation data includes a power supply value;

[0011] Based on the power demand data of the target power consumption area, the location control factors of the multiple energy storage power stations, and the state control factors of the multiple energy storage power stations, the power supply of the multiple energy storage power stations is controlled to obtain the power supply distribution data of the multiple energy storage power stations, including:

[0012] By multiplying the total power value of the target power consumption area, the location control factor of the energy storage power station and the state control factor of the energy storage power station, the power supply of the energy storage power station is regulated to obtain the power supply power value of the energy storage power station.

[0013] According to an embodiment of the present invention, the control method further includes:

[0014] Determine the power loss rate per unit distance; and

[0015] Based on the power loss rate per unit distance, a fitting curve of the relationship between distance and position control factor is determined.

[0016] According to an embodiment of the present invention, the relationship fitting curve between the distance and the position control factor is shown in the following formula:

[0017] ;

[0018] in, represents the location control factor of the j-th energy storage power station, represents the distance between the jth energy storage power station and the target power consumption area, Represents the power loss rate per unit distance, d is the coefficient, d is greater than 0 and less than or equal to 1.

[0019] According to an embodiment of the present invention, the control method further includes:

[0020] Determine the weight of the relationship fitting curve between the state of charge parameter and the state control factor based on the power demand data of the target power consumption area, the number of energy storage power stations in the distributed electrochemical energy storage power station system, and the maximum power supply allocation data of the energy storage power station; and

[0021] Based on the weight and the power value of the state of charge parameter, a relationship fitting curve between the state of charge parameter and the state control factor is determined.

[0022] According to an embodiment of the present invention, the relationship fitting curve between the state of charge parameter and the state control factor is shown in the following formula:

[0023] ;

[0024] in, represents the state control factor of the j-th energy storage power station, It represents the ratio of the remaining battery capacity of the j-th energy storage power station to the total battery power value. Represents weight.

[0025] According to an embodiment of the present invention, the weight See the following formula: ;

[0026] in, Indicates the total power value of the target power consumption area, The maximum power supply value of the energy storage power station, J represents the number of energy storage power stations.

[0027] Another aspect of the present invention provides a control device suitable for a distributed electrochemical energy storage power station, the control device comprising: a distance determination module for determining the distance between each of a plurality of energy storage power stations in a distributed electrochemical energy storage power station system and a target power consumption area; a position control factor determination module for determining the position control factor of each of the plurality of energy storage power stations based on the distance between the energy storage power station and the target power consumption area, wherein the position control factor characterizes the degree of loss of electric energy due to the transmission distance; a state control factor determination module for determining the state control factor of each of the plurality of energy storage power stations based on the state of charge parameters of each of the plurality of energy storage power stations, wherein the state control factor characterizes the degree of influence of the remaining capacity of the battery on the power supply; and a control module for controlling the power supply of each of the plurality of energy storage power stations based on the power demand data of the target power consumption area, the position control factors of each of the plurality of energy storage power stations and the state control factors of each of the plurality of energy storage power stations, so as to obtain the power supply distribution data of each of the plurality of energy storage power stations.

[0028] According to the embodiment of the present invention, because the distance between each of the multiple energy storage power stations and the target power consumption area in the distributed electrochemical energy storage power station system is determined; based on the distance between the energy storage power station and the target power consumption area, the position control factor of each of the multiple energy storage power stations is determined, wherein the position control factor represents the degree of loss of electric energy due to the transmission distance; based on the state of charge parameters of each of the multiple energy storage power stations, the state control factor of each of the multiple energy storage power stations is determined, wherein the state control factor represents the degree of influence of the remaining capacity of the battery on the power supply; and based on the power demand data of the target power consumption area, the position control factors of each of the multiple energy storage power stations and the state control factors of each of the multiple energy storage power stations, the power supply of each of the multiple energy storage power stations is regulated, and the technical means of obtaining the power supply distribution data of each of the multiple energy storage power stations is obtained, and the key influencing factors, such as the state of charge parameters and the distance, are determined from the multiple influencing factors, and the state control factors are determined based on the state of charge parameters and the position control factors are determined based on the distance, and the power supply of the multiple energy storage power stations is adaptively controlled based on the state control factors and the position control factors. Therefore, the technical problem of the difficulty of control caused by the complexity of the influencing factors is at least partially overcome, and the technical effect of balanced control, adaptive control and precise control is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The above and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

[0030] Figure 1 An exemplary system architecture of the control method and device for a distributed electrochemical energy storage power station to which the present invention can be applied is shown.

[0031] Figure 2 A flow chart of a control method applicable to a distributed electrochemical energy storage power station according to an embodiment of the present invention is shown.

[0032] Figure 3 A flow chart of a control method applicable to a distributed electrochemical energy storage power station according to another embodiment of the present invention is shown.

[0033] Figure 4 A block diagram of a control device applicable to a distributed electrochemical energy storage power station according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0034] Below, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of concepts of the present invention.

[0035] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0036] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0037] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0038] An embodiment of the present invention provides a control method applicable to a distributed electrochemical energy storage power station, the control method comprising: determining the distance between each of a plurality of energy storage power stations and a target power consumption area in a distributed electrochemical energy storage power station system; determining the position control factor of each of the plurality of energy storage power stations based on the distance between the energy storage power station and the target power consumption area, wherein the position control factor represents the degree of loss of electric energy due to the transmission distance; determining the state control factor of each of the plurality of energy storage power stations based on the state of charge parameters of each of the plurality of energy storage power stations, wherein the state control factor represents the degree of influence of the remaining capacity of the battery on the power supply; and controlling the power supply of each of the plurality of energy storage power stations based on the power demand data of the target power consumption area, the position control factors of each of the plurality of energy storage power stations, and the state control factors of each of the plurality of energy storage power stations to obtain power supply distribution data of each of the plurality of energy storage power stations.

[0039] Figure 1 An exemplary system architecture 100 is shown that can be applied to a control method and device for a distributed electrochemical energy storage power station according to an embodiment of the present invention. It should be noted that: Figure 1The examples shown are merely examples of system architectures to which the embodiments of the present invention may be applied, to help those skilled in the art understand the technical content of the present invention, but do not mean that the embodiments of the present invention may not be used in other devices, systems, environments or scenarios.

[0040] like Figure 1 As shown, the system architecture 100 according to this embodiment may include a server 110 and a distributed electrochemical energy storage power station system.

[0041] The server 110, also known as the power grid control system center, can communicate with the distributed electrochemical energy storage power station system through the network.

[0042] A distributed electrochemical energy storage power station system can include multiple energy storage power stations, such as Figure 1 The first energy storage power station 121, the second energy storage power station 122 and the third energy storage power station 123. Each energy storage power station can respond to the charging instruction of the server 110 to supply power to the power-consuming devices in the target power consumption area.

[0043] For example, the server 110 may receive a power request from a power-consuming device in a target power consumption area, and determine the power demand data of the target power consumption area based on the power request. The server 110 may also receive the current state of charge parameter data of each of the multiple energy storage power stations in the distributed electrochemical energy storage power station system, and determine the location control factors of each of the multiple energy storage power stations based on the distance between the energy storage power station and the target power consumption area, wherein the location control factor represents the degree of loss of electric energy due to the transmission distance; determine the state control factors of each of the multiple energy storage power stations based on the state of charge parameters of each of the multiple energy storage power stations, wherein the state control factor represents the degree of influence of the remaining capacity of the battery on the power supply; and regulate the power supply of each of the multiple energy storage power stations based on the power demand data of the target power consumption area, the location control factors of each of the multiple energy storage power stations, and the state control factors of each of the multiple energy storage power stations, and obtain the power supply distribution data of each of the multiple energy storage power stations. The power supply distribution data is sent to the multiple energy storage power stations as a power supply control instruction.

[0044] It should be understood that Figure 1 The number of energy storage power stations, networks and servers in the embodiment is only . According to the implementation requirements, there can be any number of energy storage power stations, networks and servers.

[0045] Figure 2 A flow chart of a control method applicable to a distributed electrochemical energy storage power station according to an embodiment of the present invention is shown.

[0046] like Figure 2 As shown, the method includes operations S210 to S240.

[0047] In operation S210 , the distance between each of a plurality of energy storage power stations in the distributed electrochemical energy storage power station system and a target power consumption area is determined.

[0048] A distributed electrochemical energy storage power station system may include multiple energy storage stations. The distance between each energy storage station and the target power consumption area is different. The distance between the energy storage station and the target power consumption area affects the amount of loss in the process of transporting electric energy. For example, the longer the distance, the more loss, and the shorter the distance, the less loss.

[0049] In operation S220 , location control factors of respective energy storage power stations are determined based on the distance between the energy storage power station and the target power consumption area.

[0050] The location control factor represents the degree of energy loss caused by the transmission distance.

[0051] The location control factor can be used to quantify the loss of electric energy due to the transmission distance, thereby improving the control accuracy and adaptability of multiple energy storage power stations using the location control factor as a key reference factor.

[0052] In operation S230 , state control factors of the plurality of energy storage power stations are determined based on the state of charge parameters of the plurality of energy storage power stations.

[0053] The state control factor represents the influence of the remaining capacity of the battery on the power supply.

[0054] The state of charge parameter may be referred to as SOC (State of Charge), for example, the ratio of the remaining battery capacity to the total battery capacity of an energy storage power station.

[0055] During the operation of the distributed electrochemical energy storage power station system, the output power of the energy storage power station and the state of charge parameters have mutual influence. The state control factor can be used to quantify the impact of the battery state of charge parameters on the power supply, thereby improving the control accuracy and adaptability of multiple energy storage power stations using the state control factor as a key reference factor.

[0056] In operation S240, based on the power demand data of the target power consumption area, the location control factors of the plurality of energy storage power stations, and the state control factors of the plurality of energy storage power stations, the power supply of the plurality of energy storage power stations is controlled to obtain the power supply distribution data of the plurality of energy storage power stations.

[0057] According to an embodiment of the present invention, distance and state of charge parameters are determined as key influencing factors from among multiple influencing factors, and the position control factor is used to quantify the influence of distance on the output power of the energy storage power station; the state control factor is used to quantify the influence of the state of charge parameter on the output power of the energy storage power station, and the power demand data of the target power consumption area, the position control factor and the state control factor system are used to control the power supply of multiple energy storage power stations, thereby making the power supply distribution data of multiple energy storage power stations effective, highly coordinated, and fully balanced, thereby improving the overall control capability and the overall dispatching capability of the power grid system. In addition, the overall adaptive dispatching capability of the distributed electrochemical energy storage power station system is also improved.

[0058] The following is a detailed description of the embodiments of the present invention. Figure 2 The method shown is further explained.

[0059] According to an embodiment of the present invention, Figure 2 The operation S220 shown, based on the distance between the energy storage power station and the target power consumption area, determines the location control factor of each of the multiple energy storage power stations, which may include: determining the location control factor of the energy storage power station based on the distance between the energy storage power station and the target power consumption area and a fitting curve of the relationship between the distance and the location control factor.

[0060] The location control factor may refer to: effective transmission power coefficient. It can be understood that the effective power transmitted to the target power consumption area is equal to the output power of the energy storage power station multiplied by the effective transmission power coefficient.

[0061] The relationship fitting curve between the distance and the location control factor may be an inverse proportional function curve, and the distance between the energy storage power station and the target power consumption area may be substituted into the inverse proportional function curve to obtain the location control factor of the energy storage power station.

[0062] For example, the relationship between distance and position control factor can be expressed as formula (1):

[0063] ;Formula (1)

[0064] in, It is expressed as the position control factor, K is a constant, Represents the distance between the jth energy storage power station and the target power consumption area.

[0065] The farther the distance between the energy storage power station and the target power consumption area, the smaller the location control factor of the energy storage power station and the smaller the effective transmission power coefficient.

[0066] Determining the location control factor of the energy storage power station using the above method can effectively quantify the impact of distance on the output power of the energy storage power station and improve the overall balanced control of power supply distribution data of multiple energy storage power stations.

[0067] According to other embodiments of the present invention, the relationship fitting curve between the distance and the position control factor may be determined using the power loss rate per unit distance.

[0068] For example, the control method may further include: determining a power loss rate per unit distance. Based on the power loss rate per unit distance, determining a relationship fitting curve between the distance and the position control factor.

[0069] According to an embodiment of the present invention, the relationship fitting curve between the distance and the position control factor may be a linear function line, as shown in the following formula (2):

[0070] ;Formula (2)

[0071] in, represents the location control factor of the j-th energy storage power station, represents the distance between the jth energy storage power station and the target power consumption area, represents the power loss rate per unit distance, and d is a coefficient, for example, a coefficient greater than 0 and less than or equal to 1.

[0072] According to an embodiment of the present invention, Figure 2 The operation S230 shown, determining the state control factor of each of the multiple energy storage power stations based on the state of charge parameters of each of the multiple energy storage power stations, may include: determining the state control factor of the energy storage power station based on the state of charge parameters of the energy storage power station and a relationship fitting curve between the state of charge parameters and the state control factor.

[0073] The relationship fitting curve between the state of charge parameters and the state control factor is a quadratic function curve.

[0074] According to other embodiments of the present invention, the relationship fitting curve between the state of charge parameter and the state control factor is an exponential function curve.

[0075] Compared with the exponential function curve, the use of the quadratic function curve as the relationship fitting curve between the state of charge parameter and the state control factor can improve the effectiveness and accuracy of the control and expand the scope of application.

[0076] According to an embodiment of the present invention, the control method may further include: constructing a relationship fitting curve between the state of charge parameter and the state control factor.

[0077] For example, based on the power demand data of the target power consumption area, the number of energy storage power stations in the distributed electrochemical energy storage power station system, and the maximum power supply allocation data of the energy storage power station, the weight of the relationship fitting curve between the state of charge parameter and the state control factor is determined. Based on the weight and the power value of the state of charge parameter, the relationship fitting curve between the state of charge parameter and the state control factor is determined.

[0078] According to an embodiment of the present invention, the number of energy storage power stations, the maximum power supply allocation data of the energy storage power stations, and the power demand data of the target power consumption area are all used as reference data for the weights of the relationship fitting curve between the state of charge parameters and the state control factors. This can improve the accuracy of determining the weights of the relationship fitting curve between the state of charge parameters and the state control factors, and further improve the accuracy and effectiveness of determining the state control factors.

[0079] According to an embodiment of the present invention, the relationship fitting curve between the state of charge parameter and the state control factor is shown in the following formula (3):

[0080] ;Formula (3)

[0081] in, represents the state control factor of the j-th energy storage power station, It represents the ratio of the remaining battery capacity of the j-th energy storage power station to the total battery power value. Represents weight.

[0082] According to an embodiment of the present invention, the weight See the following formula (4):

[0083] ;Formula (4)

[0084] in, Indicates the total power value of the target power consumption area, The maximum power supply value of the energy storage power station, J represents the number of energy storage power stations.

[0085] According to an embodiment of the present invention, the weight It is related to the total power of distributed electrochemical energy storage power stations, the number of available energy storage power stations, and the maximum discharge power of energy storage power stations. Use these reference data to determine the weight The value of will allocate and regulate the distributed electrochemical energy storage power station system within the control area accordingly. This mechanism ensures that the power of each distributed electrochemical energy storage power station does not exceed its limit, and the allocation method has adaptive characteristics.

[0086] According to an embodiment of the present invention, the electricity demand data includes a total value of electricity power, and the power supply allocation data includes a power supply power value.

[0087] According to an embodiment of the present invention, Figure 2 The operation S240 shown, based on the power demand data of the target power consumption area, the location control factors of the multiple energy storage power stations, and the state control factors of the multiple energy storage power stations, controls the power supply of the multiple energy storage power stations to obtain the power supply distribution data of the multiple energy storage power stations, which may include: multiplying the total power value of the target power consumption area, the location control factor of the energy storage power station, and the state control factor of the energy storage power station to control the power supply of the energy storage power station to obtain the power supply power value of the energy storage power station.

[0088] According to an embodiment of the present invention, the power supply value of the jth energy storage power station is See the following formula (5):

[0089] ;Formula (5)

[0090] By utilizing the control method provided in the embodiment of the present invention, the adaptive control of multiple energy storage power stations is improved, and the balanced and comprehensive control of the distributed system is improved.

[0091] Reference below Figure 3 , combined with specific embodiments Figure 2 The method shown is further explained.

[0092] Figure 3 A flow chart of a control method applicable to a distributed electrochemical energy storage power station according to another embodiment of the present invention is shown.

[0093] like Figure 3 As shown, a power request of a target power consumption area can be received, and power demand data 310 of the target area can be determined. The distance 320 between each of the multiple energy storage power stations and the target power consumption area is determined, and a location control factor 330 is determined. Based on the distance 320, the number of available energy storage power stations, and the maximum power supply power of each of the multiple energy storage power stations, a weight 340 is determined. Based on the weight 340 and the state of charge parameter 350, a state control factor 360 of each of the multiple energy storage power stations is determined. Based on the power demand data 310, the location control factor 330 and the state control factor 360, power supply distribution data 370 of each of the multiple energy storage power stations is determined.

[0094] Figure 4 A block diagram of a control device applicable to a distributed electrochemical energy storage power station according to an embodiment of the present invention is shown.

[0095] like Figure 4 As shown, a control device 400 suitable for a distributed electrochemical energy storage power station includes a distance determination module 410 , a position control factor determination module 420 , a state control factor determination module 430 and a control module 440 .

[0096] The distance determination module 410 is used to determine the distance between each of the multiple energy storage power stations in the distributed electrochemical energy storage power station system and the target power consumption area.

[0097] The location control factor determination module 420 is used to determine the location control factors of the multiple energy storage power stations based on the distance between the energy storage power station and the target power consumption area, wherein the location control factor represents the degree of loss of electric energy due to the transmission distance.

[0098] The state control factor determination module 430 is used to determine the state control factors of the multiple energy storage power stations based on the charge state parameters of the multiple energy storage power stations, wherein the state control factor represents the influence of the remaining capacity of the battery on the power supply.

[0099] The control module 440 is used to control the power supply of multiple energy storage power stations based on the power demand data of the target power consumption area, the location control factors of the multiple energy storage power stations, and the state control factors of the multiple energy storage power stations, so as to obtain the power supply allocation data of the multiple energy storage power stations.

[0100] According to an embodiment of the present invention, the position control factor determination module includes:

[0101] The location control factor determination submodule is used to determine the location control factor of the energy storage power station based on the distance between the energy storage power station and the target power consumption area and the relationship fitting curve between the distance and the location control factor.

[0102] According to an embodiment of the present invention, the state control factor determination module includes:

[0103] The state control factor determination submodule is used to determine the state control factor of the energy storage power station based on the state of charge parameter of the energy storage power station and the relationship fitting curve between the state of charge parameter and the state control factor, wherein the relationship fitting curve between the state of charge parameter and the state control factor is a quadratic function curve.

[0104] According to an embodiment of the present invention, the electricity demand data includes a total value of electricity power, and the power supply allocation data includes a power supply power value.

[0105] The control modules include:

[0106] The control submodule is used to control the power supply of the energy storage power station by multiplying the total power value of the target power consumption area, the location control factor of the energy storage power station and the state control factor of the energy storage power station to obtain the power supply power value of the energy storage power station.

[0107] According to an embodiment of the present invention, the control method further includes:

[0108] a loss curve determination module, used to determine a power loss rate per unit distance; and

[0109] The position curve determination module is used to determine the relationship fitting curve between the distance and the position control factor based on the power loss rate per unit distance.

[0110] According to an embodiment of the present invention, the relationship fitting curve between the distance and the position control factor is shown in the following formula:

[0111] ;

[0112] in, represents the location control factor of the j-th energy storage power station, represents the distance between the jth energy storage power station and the target power consumption area, Represents the power loss rate per unit distance, d is the coefficient, d is greater than 0 and less than or equal to 1.

[0113] According to an embodiment of the present invention, the control method further includes:

[0114] A weight determination module, for determining the weight of the relationship fitting curve between the state of charge parameter and the state control factor based on the power demand data of the target power consumption area, the number of energy storage power stations in the distributed electrochemical energy storage power station system, and the maximum power supply allocation data of the energy storage power station; and

[0115] The state curve determination module is used to determine the relationship fitting curve between the state of charge parameter and the state control factor based on the weight and the power value of the state of charge parameter.

[0116] According to an embodiment of the present invention, the relationship fitting curve between the state of charge parameter and the state control factor is shown in the following formula:

[0117] ;

[0118] in, represents the state control factor of the j-th energy storage power station, It represents the ratio of the remaining battery capacity of the j-th energy storage power station to the total battery power value. Represents weight.

[0119] According to an embodiment of the present invention, the weight See the following formula: ;

[0120] in, Indicates the total power value of the target power consumption area, The maximum power supply value of the energy storage power station, J represents the number of energy storage power stations.

[0121] According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits, or at least part of the functions of any one of them can be implemented in one module. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be split into multiple modules for implementation. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be at least partially implemented as hardware circuits, such as field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), systems on chips, systems on substrates, systems on packages, application specific integrated circuits (ASICs), or can be implemented by hardware or firmware in any other reasonable way of integrating or packaging the circuit, or by any one of the three implementation methods of software, hardware, and firmware, or by a proper combination of any of them. Alternatively, according to the embodiments of the present invention, one or more of the modules, submodules, units, and subunits can be at least partially implemented as computer program modules, and when the computer program modules are run, the corresponding functions can be executed.

[0122] For example, any multiple of the distance determination module 410, the position control factor determination module 420, the state control factor determination module 430, and the control module 440 can be combined in one module / unit / sub-unit for implementation, or any one of the modules / units / sub-units can be split into multiple modules / units / sub-units. Alternatively, at least part of the functions of one or more of these modules / units / sub-units can be combined with at least part of the functions of other modules / units / sub-units and implemented in one module / unit / sub-unit. According to an embodiment of the present invention, at least one of the distance determination module 410, the position control factor determination module 420, the state control factor determination module 430, and the control module 440 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or by any one of the three implementation methods of software, hardware, and firmware, or by a suitable combination of any of them. Alternatively, at least one of the distance determination module 410, the position control factor determination module 420, the state control factor determination module 430 and the control module 440 may be at least partially implemented as a computer program module, which may perform corresponding functions when executed.

[0123] It should be noted that the control device part applicable to the distributed electrochemical energy storage power station in the embodiment of the present invention corresponds to the control method part applicable to the distributed electrochemical energy storage power station in the embodiment of the present invention. The description of the control device part applicable to the distributed electrochemical energy storage power station specifically refers to the control method part applicable to the distributed electrochemical energy storage power station, which will not be repeated here.

[0124] The embodiments of the present invention are described above. However, these embodiments are only for the purpose of illustration, and are not intended to limit the scope of the present invention. Although each embodiment is described above, it does not mean that the measures in each embodiment cannot be used in combination advantageously. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A control method applicable to a distributed electrochemical energy storage power station, characterized in that: The control method comprises: Determine the distance between each of multiple energy storage power stations in the distributed electrochemical energy storage power station system and the target power consumption area; Based on the distance between the energy storage power station and the target power consumption area, determining the location control factor of each of the plurality of energy storage power stations, wherein the location control factor represents the degree of loss of electric energy due to the transmission distance; Determining a state control factor of each of the plurality of energy storage power stations based on the state of charge parameters of each of the plurality of energy storage power stations, wherein the state control factor represents the degree of influence of the remaining capacity of the battery on the power supply; and Based on the power demand data of the target power consumption area, the location control factors of the plurality of energy storage power stations, and the state control factors of the plurality of energy storage power stations, the power supply of the plurality of energy storage power stations is controlled to obtain the power supply allocation data of the plurality of energy storage power stations; Wherein, determining the location control factors of the plurality of energy storage power stations based on the distance between the energy storage power station and the target power consumption area includes: Determine the location control factor of the energy storage power station based on the distance between the energy storage power station and the target power consumption area and the relationship fitting curve between the distance and the location control factor; The relationship between the distance and the position control factor is determined by the following method: Determine the power loss rate per unit distance; and Based on the power loss rate per unit distance, determining a fitting curve of the relationship between the distance and the position control factor; The relationship between the distance and the position control factor is shown in the following equation: ; in, represents the location control factor of the j-th energy storage power station, represents the distance between the jth energy storage power station and the target power consumption area, Represents the power loss rate per unit distance, d is the coefficient, d is greater than 0 and less than or equal to 1.

2. The control method according to claim 1, characterized in that: The determining of the state control factors of the plurality of energy storage power stations based on the respective state of charge parameters of the plurality of energy storage power stations comprises: Based on the state of charge parameter of the energy storage power station and the relationship fitting curve between the state of charge parameter and the state control factor, the state control factor of the energy storage power station is determined, wherein the relationship fitting curve between the state of charge parameter and the state control factor is a quadratic power function curve.

3. The control method according to claim 1, characterized in that: The power demand data includes a total power value, and the power supply allocation data includes a power supply value; The method of regulating the power supply of each of the plurality of energy storage power stations based on the power demand data of the target power consumption area, the location control factors of each of the plurality of energy storage power stations, and the state control factors of each of the plurality of energy storage power stations to obtain the power supply allocation data of each of the plurality of energy storage power stations includes: The total power value of the target power consumption area, the location control factor of the energy storage power station and the state control factor of the energy storage power station are multiplied to control the power supply of the energy storage power station and obtain the power supply power value of the energy storage power station.

4. The control method according to claim 2, characterized in that: The control method further comprises: Determine the weight of the relationship fitting curve between the state of charge parameter and the state control factor based on the power demand data of the target power consumption area, the number of energy storage power stations in the distributed electrochemical energy storage power station system, and the maximum power supply allocation data of the energy storage power station; and Based on the weight and the power value of the state of charge parameter, a relationship fitting curve between the state of charge parameter and the state regulation factor is determined.

5. The control method according to claim 4, characterized in that: The relationship between the state of charge parameter and the state control factor is shown in the following equation: ; in, represents the state control factor of the j-th energy storage power station, It represents the ratio of the remaining battery capacity of the j-th energy storage power station to the total battery power value. Represents weight.

6. The control method according to claim 5, characterized in that: Weight See the following formula: ; in, Indicates the total power value of the target power consumption area, The maximum power supply value of the energy storage power station, J represents the number of energy storage power stations.

7. A control device suitable for a distributed electrochemical energy storage power station, characterized in that: The control device comprises: A distance determination module, used to determine the distance between each of the multiple energy storage power stations in the distributed electrochemical energy storage power station system and the target power consumption area; A location control factor determination module, used to determine the location control factor of each of the plurality of energy storage power stations based on the distance between the energy storage power station and the target power consumption area, wherein the location control factor represents the degree of loss of electric energy due to the transmission distance; A state control factor determination module, used to determine the state control factor of each of the plurality of energy storage power stations based on the state of charge parameters of each of the plurality of energy storage power stations, wherein the state control factor represents the degree of influence of the remaining capacity of the battery on the power supply; and A control module, configured to control the power supply of each of the plurality of energy storage power stations based on the power demand data of the target power consumption area, the location control factors of each of the plurality of energy storage power stations, and the state control factors of each of the plurality of energy storage power stations, so as to obtain power supply allocation data of each of the plurality of energy storage power stations; Wherein, the position control factor determination module includes: A position control factor determination submodule, configured to determine the position control factor of the energy storage power station based on the distance between the energy storage power station and the target power consumption area and a relationship fitting curve between the distance and the position control factor; The relationship fitting curve between the distance and the position control factor is determined by the following modules of the control device: a loss curve determination module, used to determine a power loss rate per unit distance; and A position curve determination module, used to determine a relationship fitting curve between the distance and the position control factor based on the unit distance power loss rate; The relationship between the distance and the position control factor is shown in the following equation: ; in, represents the location control factor of the j-th energy storage power station, represents the distance between the jth energy storage power station and the target power consumption area, Represents the power loss rate per unit distance, d is the coefficient, d is greater than 0 and less than or equal to 1.

Images