An intelligent autonomous balancing method and system for an active power area

Abstract

The present invention discloses an intelligent autonomous balancing method and system for an active power distribution area. The method includes: setting boundary hyperparameters for transformer overload according to the operation conditions of distribution transformers in the power distribution area; constructing a forward regulation priority and a reverse regulation priority. Among them, the priorities in the forward regulation priority are, from largest to smallest, distributed power sources, distributed energy storage, interconnection devices, and charging piles, and the priorities in the reverse regulation priority are, from largest to smallest, charging piles, distributed energy storage, interconnection devices, and distributed power sources; performing regulation and decontrol according to the forward regulation priority or the reverse regulation priority. It realizes the hierarchical utilization of new adjustable loads such as distributed power sources, distributed energy storage, and charging piles, as well as resources such as interconnection devices in the power distribution area, and finally realizes the local autonomous balance of the power distribution area, effectively ensuring the safe operation of the end of the distribution network.

Description

Technical Field

[0001] The present invention belongs to the technical field of autonomous balancing of source stations, and in particular relates to an intelligent autonomous balancing method and system for source stations. Background Art

[0002] Distributed power sources have changed the supply mode of traditional power systems. Their main advantages are local utilization, clean and low-carbon, diversified interaction, flexibility and efficiency. They are an indispensable and important part of modern energy systems. In the case of dual energy control, limited local supply and external supply, in order to support orderly economic development, it is a good choice to establish distributed power sources and other power generation systems at load centers. On the one hand, it can meet the needs of economic development, and on the other hand, it can improve the absorption of wind and solar power.

[0003] However, the access of distributed power sources and electric vehicles has changed the distribution system from a traditional single-source radiation transmission network structure to a multi-source complex network structure, making the terminal distribution system trend increasingly complex and the safety risk rising. In addition, the terminal distribution system has limited carrying capacity and safety assurance level. Therefore, there is an urgent need for an active substation intelligent autonomous balancing method based on the intelligent fusion terminal of the substation to solve the current technical problems of forward and reverse overload in the substation caused by the dense distributed power sources and high penetration rate of electric vehicles. Summary of the invention

[0004] The present invention provides an intelligent autonomous balancing method and system for active substations, which are used to solve the technical problem of forward and reverse overloads in substations caused by dense distributed power sources and high penetration rate of electric vehicles.

[0005] In a first aspect, the present invention provides an active station intelligent autonomous balancing method, comprising:

[0006] According to the operation status of the distribution transformer in the substation, the boundary hyperparameters of the distribution transformer overload are set, wherein the boundary hyperparameters include the first regulation action value, the first action target value and the first recovery action value for the forward overload, and the second regulation action value, the second action target value and the second recovery action value for the reverse overload;

[0007] Constructing forward control priorities and reverse control priorities, wherein the priorities in the forward control priorities are distributed power sources, distributed energy storage, interconnected devices, and charging piles from large to small, and the priorities in the forward control priorities are charging piles, distributed energy storage, interconnected devices, and distributed power sources from large to small;

[0008] Control and release are performed according to the forward control priority or the reverse control priority.

[0009] In a second aspect, the present invention provides an active station intelligent autonomous balancing system, comprising:

[0010] A setting module, configured to set boundary hyperparameters of distribution transformer overload according to the operation status of the distribution transformer in the substation area, wherein the boundary hyperparameters include a first regulation action value, a first action target value and a first recovery action value for forward overload, and a second regulation action value, a second action target value and a second recovery action value for reverse overload;

[0011] A construction module is configured to construct a forward control priority and a reverse control priority, wherein the priorities in the forward control priority are distributed power supply, distributed energy storage, interconnected device and charging pile from large to small, and the priorities in the forward control priority are charging pile, distributed energy storage, interconnected device and distributed power supply from large to small;

[0012] The governance module is configured to perform regulation and release according to the positive regulation priority or the reverse regulation priority.

[0013] According to a third aspect, an electronic device is provided, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the steps of the active area intelligent autonomous balancing method of any embodiment of the present invention.

[0014] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the processor is caused to execute the steps of the active substation intelligent autonomous balancing method of any embodiment of the present invention.

[0015] The active substation intelligent autonomous balancing method and system of the present application flexibly sets the substation forward and reverse overload management boundary hyperparameters based on the operating status of the substation distribution transformer, including the control action value, action target value and recovery action value of the forward and reverse overloads, to ensure that the control process is stable and reliable; then, comprehensively considering multiple factors such as maximizing the consumption of new energy, property rights attribute division, and comprehensive energy complementarity, set the resource control priority of new adjustable loads such as distributed power sources, distributed energy storage, charging piles, and substation interconnection devices, and can be customized according to the actual operating resource conditions in the substation; finally, consider the intrinsic attributes of various resources including new adjustable loads such as distributed power sources, distributed energy storage, charging piles, and substation interconnection devices to establish a control model, build a lightweight and reliable tiered control process, and maximize the use of the adjustable capabilities of each source to achieve autonomous balance in the substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 A flow chart of an active area intelligent autonomous balancing method provided by one embodiment of the present invention;

[0018] Figure 2 A structural block diagram of an active station area intelligent autonomous balancing system provided by an embodiment of the present invention;

[0019] Figure 3 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1 , which shows a flow chart of an active area intelligent autonomous balancing method of the present application.

[0022] like Figure 1 As shown, the active area intelligent autonomous balancing method specifically includes the following steps:

[0023] Step S101, setting boundary hyperparameters of distribution transformer overload according to the operation status of the distribution transformer in the substation, wherein the boundary hyperparameters include a first regulation action value, a first action target value and a first recovery action value for forward overload, and a second regulation action value, a second action target value and a second recovery action value for reverse overload.

[0024] In this step, when the distribution transformer monitoring meets the first condition, regulation is performed one by one according to the order of the forward regulation priority or the order of the reverse regulation priority. The expression of the first condition is:

[0025] ,

[0026] ,

[0027] In the formula, The monitoring load condition of the distribution transformer at time t is: is the first regulation action value of positive overload, is the second regulation action value of reverse overload, is the rated capacity of the distribution transformer;

[0028] When the distribution transformer monitoring reaches the second condition, the regulation is stopped. The expression of the second condition is:

[0029] ,

[0030] ,

[0031] In the formula, is the first action target value of positive overload, is the second action target value of reverse overload;

[0032] When the distribution transformer monitoring meets the third condition, the regulation is performed one by one in the reverse order of the forward regulation priority or the reverse order of the reverse regulation priority. The expression of the third condition is:

[0033] ,

[0034] ,

[0035] In the formula, is the first recovery action value for forward overload, It is the second recovery action value of reverse overload.

[0036] Step S102, constructing a forward control priority and a reverse control priority, wherein the priorities in the forward control priority are distributed power supply, distributed energy storage, interconnected device and charging pile from large to small, and the priorities in the forward control priority are charging pile, distributed energy storage, interconnected device and distributed power supply from large to small.

[0037] Step S103, performing control and release according to the forward control priority or the reverse control priority.

[0038] In this step, the distributed power sources in the regulation state are given the first priority, and if there is no photovoltaic in the regulation state, it is skipped;

[0039] Release the control in the order of project-household project-industrial and commercial project, so that it can discharge at the maximum power. After two collection cycles, monitor the transformer load;

[0040] When the distributed energy storage enters the positive overload control state, the control steps are:

[0041] Calculating the real-time discharge capacity boundary of distributed energy storage With real-time charging capability boundary , where the expressions for calculating the lower and upper bounds of the real-time discharge power of energy storage are:

[0042] ,

[0043] ,

[0044] ,

[0045] ,

[0046] ,

[0047] The expressions for calculating the lower and upper bounds of the real-time charging power of energy storage are:

[0048] ,

[0049] ,

[0050] In the formula, is the lower bound of the real-time discharge power of distributed energy storage, is the capacity of distributed energy storage at time t, is the upper bound of the real-time capacity of distributed energy storage, For distributed energy storage charging efficiency, is the terminal collection cycle, is the lower bound of the real-time capacity of distributed energy storage, is the upper limit of the real-time discharge power of distributed energy storage, To control the capacity at the start time, is the maximum charging and discharging power of distributed energy storage, is the discharge efficiency of distributed energy storage, is the number of distributed energy storage control cycles, To regulate the timing within the cycle, is the upper limit of the real-time charging power of distributed energy storage, is the lower bound of the real-time charging power of distributed energy storage, is the ceiling rounding function;

[0051] Compare and The size is used to determine the current amount of distributed energy storage to be regulated, specifically:

[0052] when When the distributed energy storage discharge output is , the control ratio is: ;

[0053] when When the distributed energy storage discharge output is , the control ratio is: ;

[0054] There are multiple distributed energy storage systems, and , then they are allocated in proportion to the rated capacity, that is:

[0055] ,

[0056] In the formula, for Energy storage regulates discharge output, for No. Energy storage rated capacity, The monitoring load condition of the distribution transformer at time t is: is the first action target value of positive overload, is the rated capacity of the distribution transformer;

[0057] When distributed energy storage is a power-constrained resource, distributed energy storage is charged and restored based on the first recovery strategy during the collection cycle, and when the When the distributed energy storage is skipped for positive overload regulation, The monitoring load of the distribution transformer at the current moment, the distributed energy storage charging recovery based on the first recovery strategy within the acquisition cycle is specifically:

[0058] when When the distributed energy storage charging recovery output is Any power value between

[0059] when When the distributed energy storage charging recovery output is , is the first regulation action value of positive overload, It is the first recovery action value of positive overload;

[0060] when When the distributed energy storage charging recovery output is .

[0061] Furthermore, for interconnected devices to participate in regulation, the external characteristics of adjacent substations must be complementary, that is, when there is a positive overload, there is a situation of energy backflow in adjacent substations;

[0062] The priority of the hard-controlled interconnection device is only lower than that of the controlled photovoltaic. The interconnection device is opened first for power regulation. After two collection cycles, the transformer load is monitored;

[0063] The priority of the flexible interconnection device is lower than that of the distributed energy storage device, and then the control is performed. When the flexible interconnection device enters the positive overload control state, the control steps are as follows:

[0064] Compare and To determine the flexible DC regulation power, specifically:

[0065] when hour, The monitoring load condition of the distribution transformer at time t, the flexible DC regulation power is , the control ratio is 100%;

[0066] when When the flexible DC power regulation is , the control ratio is ,in, is the rated power of the flexible DC, is the energy storage cluster discharge power, is the rated capacity of the distribution transformer, It is the first action target value of positive overload.

[0067] Furthermore, the charging pile is regulated according to the priority of flexibility first and then rigidity. The required adjustment amount of the charging pile and the adjustable load is: .

[0068] Flexible charging piles meet hour, The monitoring load condition of the distribution transformer at time t is: is the rated power of the flexible DC, For the energy storage cluster discharge power, it is regulated and allocated according to the planned charging time of the connected electric vehicles, otherwise all of them are shut down:

[0069] ,

[0070] ,

[0071] ,

[0072] In the formula, is the number of electric vehicles currently connected to the flexible control piles, { } is the current capacity of each electric vehicle, { }Filling time for each electric vehicle program,{ } is the current rated capacity of each electric vehicle, { } is the rated charging power of the flexible charging pile connected to each electric vehicle, { } is the charging power of each electric vehicle after regulation;

[0073] Hard-regulated charging piles meet When the charging piles are closed, they will be shut down one by one according to the current electric vehicle capacity from high to low until the following conditions are met, otherwise all of them will be shut down:

[0074] ,

[0075] ,

[0076] In the formula, A subset of all hard-regulated charging piles, sorted by current capacity, is the rated capacity of the mth hard-regulated charging pile.

[0077] In case of reverse overload, the charging pile in the control state is the first priority, and the control of the charging pile is released at one time;

[0078] When the distributed energy storage enters the reverse overload control state, the control steps are:

[0079] Calculate the real-time discharge capacity boundary of distributed energy storage With real-time charging capability boundary ;

[0080] Compare and The size is used to determine the current amount of distributed energy storage to be regulated, specifically:

[0081] when When the distributed energy storage charging output is , the control ratio is ;

[0082] when When the distributed energy storage charging output is , the control ratio is ;

[0083] There are multiple distributed energy storage systems, and , then they are allocated in proportion to the rated capacity, that is:

[0084] ,

[0085] In the formula, for The energy storage regulates the discharge output. for No. Energy storage rated capacity, The monitoring load condition of the distribution transformer at time t is: is the first action target value of positive overload, is the rated capacity of the distribution transformer, is the second action target value of reverse overload;

[0086] When distributed energy storage is a power-constrained resource, distributed energy storage is charged and restored based on the second recovery strategy during the collection cycle, and when the When the distributed energy storage is skipped for forward overload regulation, the distributed energy storage charging recovery based on the second recovery strategy during the acquisition period is specifically as follows:

[0087] when When the distributed energy storage charging recovery output is Any power value between

[0088] when When the distributed energy storage charging recovery output is , is the second regulation action value of reverse overload, It is the second recovery action value of reverse overload;

[0089] when When the distributed energy storage charging recovery output is .

[0090] Furthermore, for interconnected devices to participate in regulation, the external characteristics of adjacent substations must be complementary, that is, when overloaded in the reverse direction, there must be a heavy load in the adjacent substations;

[0091] The priority of the hard-controlled interconnected device is only lower than that of the controlled charging pile. The interconnected device is opened first for power regulation. After that, monitor the transformer load condition;

[0092] When the flexible interconnection device enters the reverse overload regulation state, the regulation steps are:

[0093] Compare and To determine the flexible DC regulation power, specifically:

[0094] when When the flexible DC power regulation is , the control ratio is 100%;

[0095] when When the flexible DC power regulation is , the control ratio is ,in, is the rated power of the flexible DC, Charging power for energy storage cluster, is the rated capacity of the distribution transformer, It is the second action target value of reverse overload.

[0096] It should be noted that when the distributed power source is reverse overloaded, it is controlled in the order of industrial and commercial projects-household projects-projects, and in accordance with Distribute the generated power to achieve the equalization of the abandoned power of new energy according to the rated capacity. The specific steps are as follows:

[0097] when hour, is the rated capacity of the distribution transformer, is the second action target value of reverse overload, and determines the output of each commercial project photovoltaic unit, otherwise the photovoltaic of the commercial project is shut down. The expression is:

[0098] ,

[0099] In the formula, To contribute to the photovoltaic cluster of industrial and commercial projects. The actual output of photovoltaic clusters for household projects, Make actual contribution to the photovoltaic cluster of the project. The rated capacity of photovoltaic power generation for each industrial and commercial project. Provide power for various industrial and commercial photovoltaic regulation. The proportion of photovoltaic regulation in various industries and commerce, The actual photovoltaic output of the i-th industrial and commercial project, is the actual photovoltaic output of the kth project, is the actual photovoltaic output of the jth household project, is the number of industrial and commercial photovoltaic projects in the industrial and commercial photovoltaic cluster, is the number of household photovoltaic projects in the household photovoltaic cluster, is the number of project photovoltaics in the project photovoltaic cluster;

[0100] when When the output of each household photovoltaic unit is determined, otherwise the photovoltaic unit of the household project is shut down. The expression is:

[0101] ,

[0102] In the formula, The rated capacity of photovoltaic power generation for each household project; The photovoltaic power generation is regulated for each household; The proportion of photovoltaic regulation for each user;

[0103] Determine the output of photovoltaic units in each project, the expression is:

[0104] ,

[0105] In the formula, is the PV rated capacity of each project; Provide power for each photovoltaic power plant after regulation; is the proportion of each photovoltaic regulation;

[0106] Due to the uncertainty of photovoltaic units, the actual photovoltaic output cannot meet the control requirements. Therefore, after the output allocation is completed, it is necessary to check and screen out all The units are allocated in multiple rounds until the output of all the regulating units meets the requirements. The expression is:

[0107] ,

[0108] ,

[0109] ,

[0110] ,

[0111] ,

[0112] ,

[0113] In the formula, To compensate the total output after verification, The actual photovoltaic output that does not meet the verification output requirements, , They are the photovoltaic control output that does not meet the output requirements before verification and the photovoltaic control output that meets the output requirements. Provide additional output for each photovoltaic power plant that meets the requirements in the current verification round. The rated capacity of each photovoltaic power plant that meets the requirements of the current verification round, , They are the photovoltaic control output that does not meet the requirements after verification and the photovoltaic control output that meets the requirements. , They are the proportion of photovoltaic regulation that does not meet the requirements after verification and the proportion of photovoltaic regulation that meets the requirements, To check the photovoltaic control output before calibration, is the total number of photovoltaic The photovoltaic number that does not meet the requirements before verification, is the total number of photovoltaic cells that do not meet the requirements before calibration. Actual contribution to photovoltaic power generation.

[0114] In summary, the method of the present application aims at the safety exceeding limit situation of active substation distribution transformer caused by the access of distributed renewable energy and electric vehicles, liberates the edge computing power relying on the intelligent fusion terminal of the substation, formulates a lightweight and highly adaptable control strategy, and realizes the cascade utilization of resources including new adjustable loads such as distributed power sources, distributed energy storage, charging piles, and substation interconnection devices, and finally realizes local autonomous balance in the substation, effectively ensuring the safe operation of the distribution network terminal.

[0115] See also Figure 2 , which shows a structural block diagram of an active station area intelligent autonomous balancing system of the present application.

[0116] like Figure 2As shown, the active substation intelligent autonomous balancing system 200 includes a setting module 210, a construction module 220 and a management module 230.

[0117] Among them, the setting module 210 is configured to set the boundary hyperparameters of the distribution transformer overload according to the operation status of the distribution transformer in the substation, and the boundary hyperparameters include the first control action value, the first action target value and the first recovery action value of the forward overload, and the second control action value, the second action target value and the second recovery action value of the reverse overload; the construction module 220 is configured to construct the forward control priority and the reverse control priority, wherein the priorities in the forward control priority are distributed power sources, distributed energy storage, interconnected devices and charging piles from large to small, and the priorities in the forward control priority are charging piles, distributed energy storage, interconnected devices and distributed power sources from large to small; the governance module 230 is configured to control and release according to the forward control priority or the reverse control priority.

[0118] It should be understood that Figure 2 Modules and references documented in Figure 1 Therefore, the operations and features described above for the method and the corresponding technical effects are also applicable to Figure 2 The modules in it will not be described in detail here.

[0119] In some other embodiments, the present invention also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the processor executes the active station area intelligent autonomous balancing method in any of the above method embodiments;

[0120] As an implementation mode, the computer-readable storage medium of the present invention stores computer-executable instructions, and the computer-executable instructions are configured as follows:

[0121] According to the operation status of the distribution transformer in the substation, the boundary hyperparameters of the distribution transformer overload are set, wherein the boundary hyperparameters include the first regulation action value, the first action target value and the first recovery action value for the forward overload, and the second regulation action value, the second action target value and the second recovery action value for the reverse overload;

[0122] Constructing forward control priorities and reverse control priorities, wherein the priorities in the forward control priorities are distributed power sources, distributed energy storage, interconnected devices, and charging piles from large to small, and the priorities in the forward control priorities are charging piles, distributed energy storage, interconnected devices, and distributed power sources from large to small;

[0123] Control and release are performed according to the forward control priority or the reverse control priority.

[0124] The computer-readable storage medium may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the active area intelligent autonomous balancing system, etc. In addition, the computer-readable storage medium may include a high-speed random access memory, and may also include a memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer-readable storage medium may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the active area intelligent autonomous balancing system via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0125] Figure 3 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention, such as Figure 3 As shown, the device includes: a processor 310 and a memory 320. The electronic device may also include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330 and the output device 340 may be connected via a bus or other means. Figure 3 The example of the bus connection is taken. The memory 320 is the computer-readable storage medium mentioned above. The processor 310 executes various functional applications and data processing of the server by running the non-volatile software programs, instructions and modules stored in the memory 320, that is, the active area intelligent autonomous balancing method of the above method embodiment is realized. The input device 330 can receive input digital or character information, and generate key signal input related to user settings and function control of the active area intelligent autonomous balancing system. The output device 340 may include display devices such as display screens.

[0126] The electronic device can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0127] As an implementation mode, the electronic device is applied to an active area intelligent autonomous balancing system, and is used for a client, and includes: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can:

[0128] According to the operation status of the distribution transformer in the substation, the boundary hyperparameters of the distribution transformer overload are set, wherein the boundary hyperparameters include the first regulation action value, the first action target value and the first recovery action value for the forward overload, and the second regulation action value, the second action target value and the second recovery action value for the reverse overload;

[0129] Constructing forward control priorities and reverse control priorities, wherein the priorities in the forward control priorities are distributed power sources, distributed energy storage, interconnected devices, and charging piles from large to small, and the priorities in the forward control priorities are charging piles, distributed energy storage, interconnected devices, and distributed power sources from large to small;

[0130] Control and release are performed according to the forward control priority or the reverse control priority.

[0131] Through the description of the above implementation modes, those skilled in the art can clearly understand that each implementation mode can be implemented by means of software plus a necessary general hardware platform, or of course by hardware. Based on such an understanding, the above technical solution can essentially or in other words be embodied in the form of a software product that contributes to the prior art. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0132] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent autonomous balancing method for active stations, characterized in that: include: According to the operation status of the distribution transformer in the substation, the boundary hyperparameters of the distribution transformer overload are set, wherein the boundary hyperparameters include the first regulation action value, the first action target value and the first recovery action value for the forward overload, and the second regulation action value, the second action target value and the second recovery action value for the reverse overload; Constructing forward control priorities and reverse control priorities, wherein the priorities in the forward control priorities are distributed power sources, distributed energy storage, interconnected devices, and charging piles from large to small, and the priorities in the reverse control priorities are charging piles, distributed energy storage, interconnected devices, and distributed power sources from large to small; Control and release are performed according to the forward control priority or the reverse control priority, wherein when the distributed energy storage enters the forward overload control state, the control steps are: Calculating the real-time discharge capacity boundary of distributed energy storage With real-time charging capability boundary , where the expressions for calculating the lower and upper bounds of the real-time discharge power of energy storage are: ， , , , , The expressions for calculating the lower and upper bounds of the real-time charging power of energy storage are: , , In the formula, is the lower bound of the real-time discharge power of distributed energy storage, is the capacity of distributed energy storage at time t, is the upper bound of the real-time capacity of distributed energy storage, For distributed energy storage charging efficiency, is the terminal collection cycle, is the lower bound of the real-time capacity of distributed energy storage, is the upper limit of the real-time discharge power of distributed energy storage, To control the capacity at the start time, is the maximum charging and discharging power of distributed energy storage, is the discharge efficiency of distributed energy storage, is the number of distributed energy storage control cycles, To regulate the timing within the cycle, is the upper limit of the real-time charging power of distributed energy storage, is the lower bound of the real-time charging power of distributed energy storage, is the ceiling rounding function; Compare and The size is used to determine the current amount of distributed energy storage to be regulated, specifically: when When the distributed energy storage discharge output is , the control ratio is: ; when When the distributed energy storage discharge output is , the control ratio is: ; There are multiple distributed energy storage systems, and , then they are allocated in proportion to the rated capacity, that is: ， In the formula, for The energy storage regulates the discharge output. for No. Energy storage rated capacity, The monitoring load condition of the distribution transformer at time t is: is the first action target value of positive overload, is the rated capacity of the distribution transformer; When distributed energy storage is a power-constrained resource, distributed energy storage is charged and restored based on the first recovery strategy during the collection cycle, and when the When the distributed energy storage is skipped for positive overload regulation, The monitoring load of the distribution transformer at the current moment, the distributed energy storage charging recovery based on the first recovery strategy within the acquisition cycle is specifically: when When the distributed energy storage charging recovery output is Any power value between when When the distributed energy storage charging recovery output is , is the first regulation action value of positive overload, It is the first recovery action value of positive overload; when When the distributed energy storage charging recovery output is .

2. The method for intelligent autonomous balancing of active stations according to claim 1, characterized in that: The controlling and releasing of control according to the forward control priority or the reverse control priority includes: When the distribution transformer monitoring meets the first condition, regulation is performed one by one in the order of the forward regulation priority or the order of the reverse regulation priority. The expression of the first condition is: ， ， In the formula, The monitoring load condition of the distribution transformer at time t is: is the first regulation action value of positive overload, is the second regulation action value of reverse overload, is the rated capacity of the distribution transformer; When the distribution transformer monitoring reaches the second condition, the regulation is stopped. The expression of the second condition is: ， ， In the formula, is the first action target value of positive overload, is the second action target value of reverse overload; When the distribution transformer monitoring meets the third condition, the regulation is performed one by one in the reverse order of the forward regulation priority or the reverse order of the reverse regulation priority. The expression of the third condition is: ， ， In the formula, is the first recovery action value for forward overload, It is the second recovery action value of reverse overload.

3. The active area intelligent autonomous balancing method according to claim 1 is characterized in that: The interconnection device comprises a flexible interconnection device; When the flexible interconnection device enters the forward overload regulation state, the regulation steps are: Compare and To determine the flexible DC regulation power, specifically: when hour, The monitoring load condition of the distribution transformer at time t, the flexible DC regulation power is , the control ratio is 100%; when When the flexible DC power regulation is , the control ratio is ,in, is the rated power of the flexible DC, is the discharge power of the energy storage cluster, is the rated capacity of the distribution transformer, It is the first action target value of positive overload.

4. The intelligent autonomous balancing method for active stations according to claim 1, characterized in that: The charging piles include flexible-regulated charging piles and hard-regulated charging piles; Flexible charging piles meet hour, The monitoring load condition of the distribution transformer at time t is: is the rated power of the flexible DC, For the energy storage cluster discharge power, it is regulated and allocated according to the planned charging time of the connected electric vehicles, otherwise all of them are shut down: ， ， ， In the formula, is the number of electric vehicles currently connected to the flexible control piles, { } is the current capacity of each electric vehicle, { }Filling time for each electric vehicle program,{ } is the current rated capacity of each electric vehicle, { } is the rated charging power of the flexible charging pile connected to each electric vehicle, { } is the charging power of each electric vehicle after regulation; Hard-regulated charging piles meet When the charging piles are closed, they will be shut down one by one according to the current electric vehicle capacity from high to low until the following conditions are met, otherwise all of them will be shut down: ， ， In the formula, A subset of all hard-regulated charging piles, sorted by current capacity, is the rated capacity of the mth hard-regulated charging pile.

5. The intelligent autonomous balancing method for active stations according to claim 1, characterized in that: When the distributed energy storage enters the reverse overload control state, the control steps are: Calculating the real-time discharge capacity boundary of distributed energy storage With real-time charging capability boundary ; Compare and The size is used to determine the current amount of distributed energy storage to be regulated, specifically: when When the distributed energy storage charging output is , the control ratio is ; when When the distributed energy storage charging output is , the control ratio is ; There are multiple distributed energy storage systems, and , then they are allocated in proportion to the rated capacity, that is: ， In the formula, for The energy storage regulates the discharge output. for No. Energy storage rated capacity, The monitoring load condition of the distribution transformer at time t is: is the first action target value of positive overload, is the rated capacity of the distribution transformer, is the second action target value of reverse overload; When distributed energy storage is a power-constrained resource, distributed energy storage is charged and restored based on the second recovery strategy during the collection cycle, and when the When the distributed energy storage is skipped for forward overload regulation, the distributed energy storage charging recovery based on the second recovery strategy during the acquisition period is specifically as follows: when When the distributed energy storage charging recovery output is Any power value between when When the distributed energy storage charging recovery output is , is the second regulation action value of reverse overload, It is the second recovery action value of reverse overload; when When the distributed energy storage charging recovery output is .

6. The intelligent autonomous balancing method for active stations according to claim 3, characterized in that: When the flexible interconnection device enters the reverse overload regulation state, the regulation steps are: Compare and To determine the flexible DC regulation power, specifically: when When the flexible DC power regulation is , the control ratio is 100%; when When the flexible DC power regulation is , the control ratio is ,in, is the rated power of the flexible DC, Charging power for energy storage cluster, is the rated capacity of the distribution transformer, It is the second action target value of reverse overload.

7. The active area intelligent autonomous balancing method according to claim 1, characterized in that: When the distributed power source enters the reverse overload regulation state, the regulation steps are: when hour, is the rated capacity of the distribution transformer, is the second action target value of reverse overload, and determines the output of each commercial project photovoltaic unit, otherwise the photovoltaic of the commercial project is shut down. The expression is: ， In the formula, To contribute to the photovoltaic cluster of industrial and commercial projects. The actual output of photovoltaic clusters for household projects, Make actual contribution to the photovoltaic cluster of the project. The photovoltaic rated capacity of each industrial and commercial project, Provide power for various industrial and commercial photovoltaic regulation. The proportion of photovoltaic regulation in various industries and commerce, The actual photovoltaic output of the i-th industrial and commercial project, is the actual photovoltaic output of the kth project, is the actual photovoltaic output of the jth household project, is the number of industrial and commercial photovoltaic projects in the industrial and commercial photovoltaic cluster, is the number of household photovoltaic projects in the household photovoltaic cluster, is the number of project photovoltaics in the project photovoltaic cluster; when When the output of each household photovoltaic unit is determined, otherwise the photovoltaic unit of the household project is shut down. The expression is: ， In the formula, The rated capacity of photovoltaic power generation for each household project; The photovoltaic power generation is regulated for each household; The proportion of photovoltaic regulation for each user; Determine the output of photovoltaic units in each project, the expression is: ， In the formula, is the PV rated capacity of each project; Provide power for each photovoltaic power plant after regulation; is the proportion of each photovoltaic regulation; Due to the uncertainty of photovoltaic units, the actual photovoltaic output cannot meet the control requirements. Therefore, after the output allocation is completed, it is necessary to check and screen out all The units are allocated in multiple rounds until the output of all the regulating units meets the requirements. The expression is: ， ， ， ， ， ， In the formula, To compensate the total output after verification, The actual photovoltaic output that does not meet the verification output requirements, , They are the photovoltaic control output that does not meet the output requirements before verification and the photovoltaic control output that meets the output requirements. Provide additional output for each photovoltaic power plant that meets the requirements in the current verification round. The rated capacity of each photovoltaic power plant that meets the requirements of the current verification round, , They are the photovoltaic control output that does not meet the requirements after verification and the photovoltaic control output that meets the requirements. , They are the proportion of photovoltaic regulation that does not meet the requirements after verification and the proportion of photovoltaic regulation that meets the requirements, To check the photovoltaic control output before calibration, is the total number of photovoltaic The photovoltaic number that does not meet the requirements before verification, is the total number of photovoltaic cells that do not meet the requirements before calibration. Actual contribution to photovoltaic power generation.

8. An intelligent autonomous balancing system for active stations, characterized in that: include: A setting module, configured to set boundary hyperparameters of distribution transformer overload according to the operation status of the distribution transformer in the substation area, wherein the boundary hyperparameters include a first regulation action value, a first action target value and a first recovery action value for forward overload, and a second regulation action value, a second action target value and a second recovery action value for reverse overload; A construction module is configured to construct a forward control priority and a reverse control priority, wherein the priorities in the forward control priority are distributed power supply, distributed energy storage, interconnected device and charging pile from large to small, and the priorities in the reverse control priority are charging pile, distributed energy storage, interconnected device and distributed power supply from large to small; The governance module is configured to perform regulation and release control according to the forward regulation priority or the reverse regulation priority, wherein when the distributed energy storage enters the forward overload regulation state, the regulation steps are: Calculating the real-time discharge capacity boundary of distributed energy storage With real-time charging capability boundary , where the expressions for calculating the lower and upper bounds of the real-time discharge power of energy storage are: ， , , , , The expressions for calculating the lower and upper bounds of the real-time charging power of energy storage are: , , In the formula, is the lower bound of the real-time discharge power of distributed energy storage, is the capacity of distributed energy storage at time t, is the upper bound of the real-time capacity of distributed energy storage, For distributed energy storage charging efficiency, is the terminal collection cycle, is the lower bound of the real-time capacity of distributed energy storage, is the upper limit of the real-time discharge power of distributed energy storage, To control the capacity at the start time, is the maximum charging and discharging power of distributed energy storage, is the discharge efficiency of distributed energy storage, is the number of distributed energy storage control cycles, To regulate the timing within the cycle, is the upper limit of the real-time charging power of distributed energy storage, is the lower bound of the real-time charging power of distributed energy storage, is the ceiling rounding function; Compare and The size is used to determine the current amount of distributed energy storage to be regulated, specifically: when When the distributed energy storage discharge output is , the control ratio is: ; when When the distributed energy storage discharge output is , the control ratio is: ; There are multiple distributed energy storage systems, and , then they are allocated in proportion to the rated capacity, that is: ， In the formula, for The energy storage regulates the discharge output. for No. Energy storage rated capacity, The monitoring load condition of the distribution transformer at time t is: is the first action target value of positive overload, is the rated capacity of the distribution transformer; When distributed energy storage is a power-constrained resource, distributed energy storage is charged and restored based on the first recovery strategy during the collection cycle, and when the When the distributed energy storage is skipped for positive overload regulation, The monitoring load of the distribution transformer at the current moment, the distributed energy storage charging recovery based on the first recovery strategy within the acquisition cycle is specifically: when When the distributed energy storage charging recovery output is Any power value between when When the distributed energy storage charging recovery output is , is the first regulation action value of positive overload, It is the first recovery action value of positive overload; when When the distributed energy storage charging recovery output is .

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