Energy storage battery control method and system for transformer area distribution transformer weight and overload management and storage medium

Abstract

The invention discloses an energy storage battery control method for transformer area distribution transformer weight and overload management. The energy storage battery control method comprises the following steps: acquiring data information of a target power system transformer area; modeling is carried out on the target power system transformer area; judging the operation state of the energy storage battery cabinet; calculating the line loss of the target power system area; the control mode of the energy storage battery cabinet is adjusted, and the active power output by the energy storage battery cabinet is calculated; and calculating to obtain the quantity of the energy storage batteries of the energy storage battery cabinet, and completing the control of the corresponding energy storage batteries. The invention also discloses a system and a storage medium for realizing the energy storage battery control method for heavy and overload management of the distribution transformer in the transformer area. According to the method, energy storage battery control with the purpose of transformer area distribution transformer heavy overload treatment is achieved, the reliability is higher, the accuracy is better, the effect is better, and the method is more scientific and reasonable.

Description

Technical Field

[0001] This invention belongs to the field of electrical automation, and specifically relates to an energy storage battery control method, system and storage medium for managing heavy overload of distribution transformers in transformer substations. Background Technology

[0002] With economic and technological development and the improvement of people's living standards, electricity has become an indispensable secondary energy source in people's production and daily life, bringing endless convenience. Therefore, ensuring a stable and reliable supply of electricity has become one of the most important tasks of the power system.

[0003] Currently, with the rapid increase in electricity load, many distribution transformers in various power distribution areas are experiencing severe overload problems. Severe overload of these transformers can easily lead to line faults in the affected area, significantly impacting the reliability of power supply. Therefore, addressing the severe overload of distribution transformers in power distribution areas is of great importance to the power system.

[0004] Currently, the common solution for mitigating heavy overload of distribution transformers in power distribution areas is to connect energy storage batteries. However, these solutions are generally based on empirical values ​​for battery connection, resulting in low reliability and accuracy. Furthermore, because these solutions rely on empirical values, a large amount of redundant capacity is typically maintained to ensure effective mitigation, which drastically increases the cost of the power system. Summary of the Invention

[0005] One of the objectives of this invention is to provide a highly reliable, accurate, and effective energy storage battery control method for managing heavy overload of distribution transformers in transformer substations.

[0006] The second objective of this invention is to provide a system for implementing the energy storage battery control method for managing heavy overload of distribution transformers in the substation area.

[0007] A third objective of this invention is to provide a storage medium on which a computer program is stored; when the computer program is executed by a processor, it implements the energy storage battery control method for managing heavy overload of distribution transformers in the substation area.

[0008] The energy storage battery control method for managing heavy overload of distribution transformers provided by this invention includes the following steps:

[0009] S1. Obtain data information for the target power system distribution area;

[0010] S2. Based on the data obtained in step S1, model the target power system distribution area;

[0011] S3. Determine the operating status of the energy storage battery cabinet based on the heavy overload allowable value of the transformer in the target power system area and the data information obtained in step S1;

[0012] S4. Based on the operating status of the energy storage battery cabinet obtained in step S3, calculate the line loss of the target power system area;

[0013] S5. Based on the line loss of the target power system distribution area obtained in step S4, adjust the control mode of the energy storage battery cabinet and calculate the active power output of the energy storage battery cabinet.

[0014] S6. Based on the active power output of the energy storage battery cabinet obtained in step S5, calculate the number of energy storage batteries in the energy storage battery cabinet and complete the control of the corresponding energy storage batteries.

[0015] Step S1, which involves obtaining data information for the target power system distribution area, specifically includes the following steps:

[0016] Obtain data information for the target power system distribution area;

[0017] The data information includes the apparent power and corresponding power factor of the transformer low-voltage side of the target power system distribution area, the voltage amplitude of each node in the target power system distribution area, the injected current of each node in the target power system distribution area, and the active load of each node in the target power system distribution area.

[0018] Step S2, which involves modeling the target power system distribution area based on the data information obtained in step S1, specifically includes the following steps:

[0019] The target power system distribution area is defined as including several identical energy storage batteries, each with a power-to-capacity ratio of β and a rated capacity of E. bat ;

[0020] The transformer in the target power system area has N nodes connected to its low-voltage side, and the energy storage battery cabinet has n access nodes, where 1≤n≤N.

[0021] Initially, the energy storage battery cabinet does not contain energy storage batteries, but only a converter; the converter is used to connect the energy storage batteries to the target power system distribution area according to the received control commands.

[0022] Step S3, which involves determining the operating status of the energy storage battery cabinet based on the heavy overload allowable value of the transformer in the target power system area and the data information obtained in step S1, specifically includes the following steps:

[0023] Set the allowable overload value of the transformer in the distribution area to α;

[0024] Calculate the apparent power on the low-voltage side of the transformer in the target power system area within any time period t. The difference ΔS between the transformer's overload allowable value and the transformer's overload allowable value. t for

[0025] For the difference ΔS within time period t t Make a judgment:

[0026] If ΔS t If the value is greater than 0, then set the binary variable x representing the operating status of the energy storage battery cabinet. t The value is 1;

[0027] If ΔS t If ≤0, then set the binary variable x representing the operating state of the energy storage battery cabinet. t The value is 0;

[0028] Where, x t =1 indicates that the energy storage battery cabinet is in operation, x t =0 indicates that the energy storage battery cabinet is in a stopped state;

[0029] At the same time, set the control mode binary variable of the energy storage battery cabinet. and ,and ;in For the reactive power control mode of the energy storage battery cabinet, (This refers to a binary variable.) For the active power control mode of the energy storage battery cabinet, (This refers to a binary variable.) This indicates that the energy storage battery cabinet is in reactive power control mode. This indicates that the energy storage battery cabinet is not in reactive power control mode. This indicates that the energy storage battery cabinet is in active power control mode. This indicates that the energy storage battery cabinet is not in active power control mode.

[0030] Step S4, which involves calculating the line loss of the target power system distribution area based on the operating status of the energy storage battery cabinet obtained in step S3, specifically includes the following steps:

[0031] Ignoring the impact of injected power on the node voltage of the target power system distribution area, the line loss of the target power system distribution area in time period t is calculated using the following formula.

[0032]

[0033] In the formula I i,t P represents the injected current at node i in the target power system distribution area during time period t. t cab U represents the active power output of the energy storage battery cabinet during time period t; n,t U represents the voltage amplitude of the target power system distribution area at node n in time period t; k,tU represents the voltage amplitude at node k of the target power system distribution area during time period t; 0,t The voltage amplitude on the low-voltage side of the transformer in the target power system.

[0034] Step S5, which involves adjusting the control mode of the energy storage battery cabinet based on the line loss of the target power system distribution area obtained in step S4, and calculating the output active power of the energy storage battery cabinet, specifically includes the following steps:

[0035] In x t When = 1, the binary variable of the reactive power control mode of the energy storage battery cabinet is... Set to 1;

[0036] Adjust the power factor angle of the energy storage battery cabinet to ensure that the reactive power output of the energy storage battery cabinet is... It equals the sum of the reactive loads of all nodes under the target power system distribution area;

[0037] Determine if the transformers in the target power system area are overloaded:

[0038] If there is no overload, then the active power control mode binary variable of the energy storage battery cabinet will be... Set to 0;

[0039] If overloaded, the reactive power control mode binary variable of the energy storage battery cabinet will be changed. Set it to 0, and simultaneously set the binary variable of the active power control mode of the energy storage battery cabinet. Set to 1 to maintain the reactive power output of the energy storage battery cabinet. The active power P output by the energy storage battery cabinet is calculated using the following formula, which is equal to the sum of the reactive loads of all nodes under the target power system distribution area. t cab :

[0040]

[0041] In the formula The apparent power output of the low-voltage side of the transformer in the target power system when the energy storage battery cabinet is not in operation; The power factor is the output power of the low-voltage side of the transformer in the target power system when the energy storage battery cabinet is not in operation.

[0042] Step S6, which involves calculating the number of energy storage batteries in the energy storage battery cabinet based on the active power output of the energy storage battery cabinet obtained in step S5, and controlling the corresponding energy storage batteries, specifically includes the following steps:

[0043] The total energy storage capacity E of the energy storage battery cabinet is calculated using the following formula. con,bat :

[0044]

[0045] In the formula, t represents the time period, and 1≤t≤24; β is the power-capacity ratio of the energy storage battery;

[0046] The number of energy storage batteries K in the energy storage battery cabinet is calculated using the following formula. bat :

[0047]

[0048] In the formula E bat This refers to the rated capacity of the energy storage battery. This is a rounding up operation;

[0049] Ultimately, K batteries were installed in the energy storage cabinet. bat The energy storage battery completes the control of the corresponding energy storage battery.

[0050] This invention also provides a system for implementing the energy storage battery control method for managing heavy overload of distribution transformers in a power distribution area, comprising a data acquisition module, a distribution area modeling module, a state determination module, a loss calculation module, a power calculation module, and a battery control module; the data acquisition module, distribution area modeling module, state determination module, loss calculation module, power calculation module, and battery control module are connected in series; the data acquisition module is used to acquire data information of the target power system distribution area and upload the data information to the distribution area modeling module; the distribution area modeling module is used to model the target power system distribution area based on the received data information and the acquired data information, and upload the data information to the state determination module; the state determination module is used to determine the overload of the transformer in the target power system distribution area based on the received data information and the overload of the transformer in the target power system distribution area. The system uses overload tolerance values ​​and acquired data to determine the operating status of the energy storage battery cabinet and uploads the data to the loss calculation module. The loss calculation module calculates the line losses of the target power system distribution area based on the received data and the obtained operating status of the energy storage battery cabinet, and uploads the data to the power calculation module. The power calculation module adjusts the control mode of the energy storage battery cabinet based on the received data and the obtained line losses of the target power system distribution area, calculates the active power output of the energy storage battery cabinet, and uploads the data to the battery control module. The battery control module calculates the number of energy storage batteries in the energy storage battery cabinet based on the received data and the obtained active power output of the energy storage battery cabinet, and completes the control of the corresponding energy storage batteries.

[0051] The present invention also provides a storage medium on which a computer program is stored; when the computer program is executed by a processor, it implements the energy storage battery control method for managing heavy overload of distribution transformers in the distribution area.

[0052] The energy storage battery control method and system provided by this invention for the treatment of heavy overload of distribution transformers in the power system acquires and models the data of the target power system, and then determines the operating status and control mode of the energy storage battery. Finally, it achieves energy storage battery control for the purpose of treating heavy overload of distribution transformers in the power system. It is not only more reliable and more accurate, but also more effective and more scientific and reasonable. Attached Figure Description

[0053] Figure 1 This is a schematic diagram of the method flow of the present invention.

[0054] Figure 2 This is a test schematic diagram of an embodiment of the method of the present invention.

[0055] Figure 3 This is a schematic diagram showing the results of an embodiment of the method of the present invention.

[0056] Figure 4 This is a schematic diagram of the functional modules of the system of the present invention. Detailed Implementation

[0057] like Figure 1 The diagram shown is a flowchart of the method of the present invention: The energy storage battery control method for overload mitigation of distribution transformers disclosed in this invention includes the following steps:

[0058] S1. Obtain data information for the target power system distribution area; specifically including the following steps:

[0059] Obtain data information for the target power system distribution area;

[0060] The data information includes the apparent power and corresponding power factor of the transformer low-voltage side of the target power system distribution area, the voltage amplitude of each node in the target power system distribution area, the injected current of each node in the target power system distribution area, and the active load of each node in the target power system distribution area; in specific implementation, 24-point data of the operating conditions of the target distribution area can be obtained at hourly sampling intervals.

[0061] S2. Based on the data obtained in step S1, model the target power system distribution area; specifically including the following steps:

[0062] The target power system distribution area is defined as including several identical energy storage batteries, each with a power-to-capacity ratio of β and a rated capacity of E. bat ;

[0063] The transformer in the target power system area has N nodes connected to its low-voltage side, and the energy storage battery cabinet has n access nodes, where 1≤n≤N.

[0064] Initially, the energy storage battery cabinet does not contain energy storage batteries, but only a converter; the converter is used to connect the energy storage batteries to the target power system distribution area according to the received control commands.

[0065] S3. Based on the permissible overload value of the transformer in the target power system area and the data information obtained in step S1, determine the operating status of the energy storage battery cabinet; specifically including the following steps:

[0066] Set the allowable overload value of the transformer in the distribution area to α;

[0067] Calculate the apparent power on the low-voltage side of the transformer in the target power system area within any time period t. The difference ΔS between the transformer's overload allowable value and the transformer's overload allowable value. t for

[0068] For the difference ΔS within time period t t Make a judgment:

[0069] If ΔS t If the value is greater than 0, then set the binary variable x representing the operating status of the energy storage battery cabinet. t The value is 1;

[0070] If ΔS t If ≤0, then set the binary variable x representing the operating state of the energy storage battery cabinet. t The value is 0;

[0071] Where, x t =1 indicates that the energy storage battery cabinet is in operation, x t =0 indicates that the energy storage battery cabinet is in a stopped state;

[0072] At the same time, set the control mode binary variable of the energy storage battery cabinet. and ,and in For the reactive power control mode of the energy storage battery cabinet, (This refers to a binary variable.) For the active power control mode of the energy storage battery cabinet, (This refers to a binary variable.) This indicates that the energy storage battery cabinet is in reactive power control mode. This indicates that the energy storage battery cabinet is not in reactive power control mode. This indicates that the energy storage battery cabinet is in active power control mode. This indicates that the energy storage battery cabinet is not in active power control mode;

[0073] S4. Based on the operating status of the energy storage battery cabinet obtained in step S3, calculate the line loss of the target power system distribution area; specifically including the following steps:

[0074] Ignoring the impact of injected power on the node voltage of the target power system distribution area, the line loss of the target power system distribution area in time period t is calculated using the following formula.

[0075]

[0076] In the formula I i,t P represents the injected current at node i in the target power system distribution area during time period t. t cab U represents the active power output of the energy storage battery cabinet during time period t; n,t U represents the voltage amplitude of the target power system distribution area at node n in time period t; k,t U represents the voltage amplitude of the target power system distribution area at node k during time period t; 0,t The voltage amplitude on the low-voltage side of the transformer in the target power system.

[0077] S5. Based on the line loss of the target power system distribution area obtained in step S4, adjust the control mode of the energy storage battery cabinet and calculate the output active power of the energy storage battery cabinet; specifically including the following steps:

[0078] In x t When = 1, the binary variable of the reactive power control mode of the energy storage battery cabinet is... Set to 1;

[0079] Adjust the power factor angle of the energy storage battery cabinet to ensure that the reactive power output of the energy storage battery cabinet is... It equals the sum of the reactive loads of all nodes under the target power system distribution area;

[0080] Determine if the transformers in the target power system area are overloaded:

[0081] If there is no overload, then the active power control mode binary variable of the energy storage battery cabinet will be... Set to 0;

[0082] If overloaded, the reactive power control mode binary variable of the energy storage battery cabinet will be changed. Set it to 0, and simultaneously set the binary variable of the active power control mode of the energy storage battery cabinet. Set to 1 to maintain the reactive power output of the energy storage battery cabinet. The active power P output by the energy storage battery cabinet is calculated using the following formula, which is equal to the sum of the reactive loads of all nodes under the target power system distribution area. t cab :

[0083]

[0084] In the formula The apparent power output of the low-voltage side of the transformer in the target power system when the energy storage battery cabinet is not in operation; The power factor output from the low-voltage side of the transformer in the target power system when the energy storage battery cabinet is not in operation;

[0085] S6. Based on the active power output of the energy storage battery cabinet obtained in step S5, calculate the number of energy storage batteries in the energy storage battery cabinet and complete the control of the corresponding energy storage batteries; specifically including the following steps:

[0086] The total energy storage capacity E of the energy storage battery cabinet is calculated using the following formula. con,bat :

[0087]

[0088] In the formula, t represents the time period, and 1≤t≤24; β is the power-capacity ratio of the energy storage battery;

[0089] The number of energy storage batteries K in the energy storage battery cabinet is calculated using the following formula. bat :

[0090]

[0091] In the formula E bat This refers to the rated capacity of the energy storage battery. This is a rounding up operation;

[0092] Ultimately, K batteries were installed in the energy storage cabinet. bat The energy storage battery completes the control of the corresponding energy storage battery.

[0093] The method of the present invention will be further described below with reference to an embodiment:

[0094] Taking a 10kV feeder as an example (e.g.) Figure 3 The analysis is performed as shown below. The energy storage module is set to 10kW / 20kWh, the energy storage cabinet PCS is set to 400kVA, the maximum number of energy storage batteries it can hold is 10, the rated capacity of the distribution transformer is set to 1MVA, the number of operating segments is 13 (8:00-20:00), and the energy storage cabinet access node is... Figure 2 Node 17 in the middle.

[0095] The apparent power output of the distribution transformer is as follows Figure 3 The red curve shows the difference between the apparent power on the low-voltage side of the transformer and the allowable overload value of the transformer in the distribution area. Set the binary variable x representing the operating status of the energy storage battery cabinet. t and reactive power control binary variables As shown in Table 1.

[0096] Table 1. Schematic diagram of energy storage cabinet operation status

[0097]

[0098] exist During the specified period, the reactive power output by the energy storage cabinet will be... exist During the specified period, the reactive power output of the energy storage cabinet will be... Furthermore, the difference between the apparent power on the low-voltage side of the transformer and the allowable overload value of the transformer in the distribution area is calculated after the energy storage cabinet operates under reactive power conditions. Adjust the control mode of the energy storage battery cabinet based on the difference. and As shown in Table 2

[0099] Table 2. Schematic diagram of energy storage control status

[0100]

[0101] exist During the specified time period, calculate the active power output of the energy storage cabinet. The required number of energy storage batteries is 10, and the situation of heavy overload in the transformer area is as follows: Figure 3 As shown by the blue curve, it can be seen that the distribution network has no heavy overload and the problem has been completely resolved.

[0102] like Figure 4The diagram shows the functional modules of the system of the present invention: The system disclosed in this invention, which implements the energy storage battery control method for managing heavy overload of distribution transformers in the distribution area, includes a data acquisition module, a distribution area modeling module, a state determination module, a loss calculation module, a power calculation module, and a battery control module; these modules are connected in series. The data acquisition module acquires data information of the target power system distribution area and uploads it to the distribution area modeling module. The distribution area modeling module models the target power system distribution area based on the received and acquired data information and uploads the data information to the state determination module. The state determination module models the target power system distribution area based on the received data information and the target power system... The system uses the transformer's overload allowable value and acquired data to determine the operating status of the energy storage battery cabinet and uploads the data to the loss calculation module. The loss calculation module calculates the line loss of the target power system distribution area based on the received data and the obtained operating status of the energy storage battery cabinet, and uploads the data to the power calculation module. The power calculation module adjusts the control mode of the energy storage battery cabinet based on the received data and the obtained line loss of the target power system distribution area, calculates the active power output of the energy storage battery cabinet, and uploads the data to the battery control module. The battery control module calculates the number of energy storage batteries in the energy storage battery cabinet based on the received data and the obtained active power output of the energy storage battery cabinet, and completes the control of the corresponding energy storage batteries.

[0103] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of this application can be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0104] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0105] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0106] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0107] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0108] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for controlling the overload of distribution transformers in a transformer substation, comprising the following steps: S1. Obtain data information for the target power system distribution area; S2. Based on the data obtained in step S1, model the target power system distribution area; S3. Determine the operating status of the energy storage battery cabinet based on the heavy overload allowable value of the transformer in the target power system area and the data information obtained in step S1; S4. Based on the operating status of the energy storage battery cabinet obtained in step S3, calculate the line loss of the target power system distribution area; S5. Based on the line loss of the target power system distribution area obtained in step S4, adjust the control mode of the energy storage battery cabinet and calculate the active power output of the energy storage battery cabinet. S6. Based on the active power output of the energy storage battery cabinet obtained in step S5, calculate the number of energy storage batteries in the energy storage battery cabinet and complete the control of the corresponding energy storage batteries.

2. The energy storage battery control method for overload mitigation of distribution transformers in a transformer substation according to claim 1, characterized in that... Step S1, which involves obtaining data information for the target power system distribution area, specifically includes the following steps: Obtain data information for the target power system distribution area; The data information includes the apparent power and corresponding power factor of the transformer low-voltage side of the target power system distribution area, the voltage amplitude of each node in the target power system distribution area, the injected current of each node in the target power system distribution area, and the active load of each node in the target power system distribution area.

3. The energy storage battery control method for overload mitigation of distribution transformers in a transformer substation according to claim 2, characterized in that... Step S2, which involves modeling the target power system distribution area based on the data information obtained in step S1, specifically includes the following steps: The target power system distribution area is defined as including several identical sets of energy storage batteries, with each set having a power capacity ratio of [missing information]. Rated capacity is ; Low-voltage side connection of transformer in the target power system distribution area There are 1 node, and the access node for the energy storage battery cabinet is 1. and ; Initially, the energy storage battery cabinet does not contain energy storage batteries, but only a converter; the converter is used to connect the energy storage batteries to the target power system distribution area according to the received control commands.

4. The energy storage battery control method for overload mitigation of distribution transformers in a transformer substation according to claim 3, characterized in that... Step S3, which involves determining the operating status of the energy storage battery cabinet based on the heavy overload allowable value of the transformer in the target power system area and the data information obtained in step S1, specifically includes the following steps: Set the allowable overload value of the transformer in the distribution area to be... ; Calculate the apparent power on the low-voltage side of the transformer in the target power system area within any time period t. The difference between the allowable overload value of the transformer in the distribution area and the value of the overload value of the transformer in the distribution area for ; For the difference within time period t Make a judgment: like Then set the binary variable of the operating status of the energy storage battery cabinet. The value is 1; like Then set the binary variable of the operating status of the energy storage battery cabinet. The value is 0; in, This indicates that the energy storage battery cabinet is in operation. This indicates that the energy storage battery cabinet is in a stopped state; At the same time, set the control mode binary variable of the energy storage battery cabinet. and ,and ;in For the reactive power control mode of the energy storage battery cabinet, (This refers to a binary variable.) For the active power control mode of the energy storage battery cabinet, (This refers to a binary variable.) This indicates that the energy storage battery cabinet is in reactive power control mode. This indicates that the energy storage battery cabinet is not in reactive power control mode. This indicates that the energy storage battery cabinet is in active power control mode. This indicates that the energy storage battery cabinet is not in active power control mode.

5. The energy storage battery control method for overload mitigation of distribution transformers in a transformer substation according to claim 4, characterized in that... Step S4, which involves calculating the line loss of the target power system distribution area based on the operating status of the energy storage battery cabinet obtained in step S3, specifically includes the following steps: Ignoring the impact of injected power on the node voltage of the target power system distribution area, the line loss of the target power system distribution area in time period t is calculated using the following formula. : In the formula The current injected into node i of the target power system distribution area during time period t; The active power output of the energy storage battery cabinet during time period t; The voltage amplitude of the target power system distribution area at node n in time period t; The voltage amplitude of the target power system distribution area at node k in time period t; The voltage amplitude on the low-voltage side of the transformer in the target power system.

6. The energy storage battery control method for overload mitigation of distribution transformers in a transformer substation according to claim 5, characterized in that... Step S5, which involves adjusting the control mode of the energy storage battery cabinet based on the line loss of the target power system distribution area obtained in step S4, and calculating the output active power of the energy storage battery cabinet, specifically includes the following steps: exist At that time, the binary variable of the reactive power control mode of the energy storage battery cabinet will be... Set to 1; Adjust the power factor angle of the energy storage battery cabinet to ensure that the reactive power output of the energy storage battery cabinet is... It equals the sum of the reactive loads of all nodes under the target power system distribution area; Determine if the transformers in the target power system area are overloaded: If there is no overload, then the active power control mode binary variable of the energy storage battery cabinet will be... Set to 0; If overloaded, the reactive power control mode binary variable of the energy storage battery cabinet will be changed. Set it to 0, and simultaneously set the binary variable of the active power control mode of the energy storage battery cabinet. Set to 1 to maintain the reactive power output of the energy storage battery cabinet. The active power output of the energy storage battery cabinet is calculated using the following formula, which is equal to the sum of the reactive loads of all nodes under the target power system distribution area. : In the formula The apparent power output of the low-voltage side of the transformer in the target power system when the energy storage battery cabinet is not in operation; The power factor is the output power of the low-voltage side of the transformer in the target power system when the energy storage battery cabinet is not in operation.

7. The energy storage battery control method for overload mitigation of distribution transformers in a transformer substation according to claim 6, characterized in that... Step S6, which involves calculating the number of energy storage batteries in the energy storage battery cabinet based on the active power output of the energy storage battery cabinet obtained in step S5, and controlling the corresponding energy storage batteries, specifically includes the following steps: The total capacity of the energy storage battery cabinet is calculated using the following formula. : In the formula Indicates a time period, and ; This refers to the power-to-capacity ratio of energy storage batteries. The number of energy storage batteries in the energy storage battery cabinet is calculated using the following formula. : In the formula This refers to the rated capacity of the energy storage battery. This is a rounding up operation; Ultimately, the number of batteries installed in the energy storage cabinet is [number missing]. The energy storage battery completes the control of the corresponding energy storage battery.

8. A system for implementing the energy storage battery control method for overload mitigation of distribution transformers in any one of claims 1 to 7, characterized in that... It includes a data acquisition module, a transformer area modeling module, a status determination module, a loss calculation module, a power calculation module, and a battery control module; the data acquisition module, transformer area modeling module, status determination module, loss calculation module, power calculation module, and battery control module are connected in series; the data acquisition module is used to acquire data information of the target power system transformer area and upload the data information to the transformer area modeling module; the transformer area modeling module is used to model the target power system transformer area based on the received data information and the acquired data information, and upload the data information to the status determination module; The status determination module is used to determine the operating status of the energy storage battery cabinet based on the received data information, the heavy overload allowable value of the transformer in the target power system area, and the acquired data information, and upload the data information to the loss calculation module. The loss calculation module is used to calculate the line loss of the target power system distribution area based on the received data and the obtained operating status of the energy storage battery cabinet, and upload the data to the power calculation module; the power calculation module is used to adjust the control mode of the energy storage battery cabinet based on the received data and the obtained line loss of the target power system distribution area, and calculate the output active power of the energy storage battery cabinet, and upload the data to the battery control module. The battery control module is used to calculate the number of energy storage batteries in the energy storage battery cabinet based on the received data and the active power output of the energy storage battery cabinet, and to control the corresponding energy storage batteries.

9. A storage medium storing a computer program thereon; when the computer program is executed by a processor, it implements the energy storage battery control method for overload mitigation of distribution transformers in any one of claims 1 to 7.

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