A system for optimizing small reactive load distribution of AVC of wind farm based on SVG

By designing an optimized AVC reactive power small load distribution system based on SVG in wind farms, and using distribution controllers and logic judgments to select wind turbine groups and SVG devices, the problem of reactive power regulation dead zone effects in wind farms is solved, and the control quality of the AVC system is improved.

CN115000974BActive Publication Date: 2026-06-19YUNNAN ELECTRIC POWER TESTING & RES INST (GRP) CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YUNNAN ELECTRIC POWER TESTING & RES INST (GRP) CO LTD
Filing Date
2022-06-08
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

In wind farms, when the voltage regulation of the AVC system is small, the reactive power regulation commands of the wind turbine group and SVG device are easily affected by the reactive power regulation dead zone, resulting in an inability to respond quickly and accurately, thus reducing the control quality.

Method used

Design an optimized AVC reactive power small load distribution system based on SVG. The distribution controller collects and judges reactive power adjustment commands, performs logical judgment based on the operating status of the wind turbine group and SVG, selects devices that can participate in reactive power small load distribution, and designs a small load distribution strategy to ensure that the wind turbine group and SVG devices respond correctly to reactive power adjustment commands.

Benefits of technology

It improves the control quality of the wind farm AVC system, ensures that the wind turbine group and SVG device are not affected by dead zone during reactive power regulation, realizes fast and accurate reactive power regulation, and solves the problem of unqualified control when the voltage regulation amount is small.

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Abstract

This invention relates to an AVC reactive power small load allocation system for wind farms based on SVG optimization. The method compares the reactive power increment calculated from the total station voltage regulation command received by the AVC system with a reactive power small load allocation threshold to determine whether to execute the reactive power small load allocation strategy. Logical judgment is performed based on the operating status signals of each wind turbine group and SVG device to select wind turbine groups and SVGs that can participate in reactive power small load allocation. Based on the current operating conditions of each wind turbine group and SVG participating in the small load allocation, a reactive power small load allocation strategy is designed to ensure that the reactive power output of the wind turbines and SVGs within each wind turbine group is not affected by the reactive power regulation dead zone, correctly responding to reactive power regulation commands and ultimately achieving the goal of regulating reactive power output. This invention solves the problem that current AVC systems cannot achieve accurate regulation when the voltage regulation amount is small.
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Description

Technical Field

[0001] This invention belongs to the field of wind power plant monitoring automation, and in particular, it is a system based on SVG to optimize the distribution of reactive power and small loads in wind farm AVC. Background Technology

[0002] Due to the intermittent and uncertain nature of wind power generation, automatic voltage control (AVC) systems are required at wind farms to improve power quality and ensure grid operation safety and stability. Static var generators (SVG) offer advantages over other reactive power compensation devices, including strong compensation performance, good harmonic characteristics, and high reliability. When used in conjunction with an AVC system, they provide rapid and stable reactive power compensation. Based on the received target voltage value from the high-voltage bus in the substation, the AVC uses a reactive power control algorithm to obtain the target reactive power for the currently adjustable equipment (wind turbine group, SVG, SVC, etc.), and then achieves controlled voltage regulation through reactive power closed-loop control.

[0003] The main reactive power distribution strategies of AVC include distribution based on regulation capacity, distribution based on regulation margin, distribution based on equal power factor, and average distribution. However, when the target value change of the high-voltage bus voltage received by the AVC system is small, the reactive power regulation command calculated by the system for the entire station is also small. The reactive power command increment for the entire station is distributed among multiple wind turbine groups or SVG devices, which may cause the reactive power distribution increment of the wind turbine or SVG device to be less than its own reactive power regulation dead zone, resulting in reactive power regulation not being executed. This leads to the reactive power regulation command for the entire station not being able to respond quickly and accurately, ultimately causing AVC regulation to be unqualified, AVC to fail to achieve the control target, and control quality to decline. Summary of the Invention

[0004] To address the aforementioned issues, this invention proposes a system for optimizing the reactive power load distribution of wind farm AVC based on SVG. This system ensures that the wind turbine group and SVG device correctly execute reactive power load adjustment commands without being affected by the reactive power adjustment dead zone of the wind turbine and SVG device, thereby effectively improving the control quality of the wind farm AVC system.

[0005] The specific technical solution of the present invention is as follows:

[0006] A system for reactive power distribution of small loads based on SVG-optimized AVC includes a distribution controller, which is connected to a wind farm turbine group monitoring system, an energy management platform, and an AVC system.

[0007] The distribution controller collects the reactive power regulation commands issued by the AVC system for the entire station, compares the reactive power increment calculated by the voltage regulation commands received by the AVC system with the reactive power small load allocation threshold value, and determines whether to execute the reactive power small load allocation strategy.

[0008] Based on the operating status signals of each wind turbine group and SVG, logical judgment is made to select wind turbine groups and SVGs that can participate in the distribution of small reactive loads;

[0009] Based on the current operating conditions of each wind turbine group and SVG participating in the small load distribution, a small load distribution strategy is designed so that the reactive power output of each wind turbine and SVG is not affected by the reactive power regulation dead zone, and correctly responds to the reactive power regulation command to ultimately regulate the reactive power output.

[0010] Furthermore, the reactive power increment calculated from the station-wide voltage regulation command received by the AVC system is compared with the reactive power low-load allocation threshold value to determine whether to implement the reactive power low-load allocation strategy, as follows:

[0011] If equation (1) is satisfied, the non-small load allocation strategy is executed; otherwise, the small load allocation strategy is executed.

[0012] (1)

[0013] -Incremental reactive power adjustment commands for the entire station;

[0014] - Threshold value for reactive power small load allocation.

[0015] Furthermore, based on the operating status signals of each wind turbine group and SVG device, logical judgments are made to select the wind turbine groups and SVG devices that can participate in the distribution of small reactive loads, specifically as follows:

[0016] First, define a conditional selection function:

[0017] (2)

[0018] X - The selected object, which is a collection of multiple elements;

[0019] Y - The output result is the set of all elements in X that satisfy the conditions;

[0020] Condition 1, Condition 2... are selection conditions; the elements in X that satisfy the combination of conditions are output as the result.

[0021] &-Logical AND;

[0022] Define the set of n wind turbine groups across the entire site. :

[0023] (3)

[0024] use Indicates wind turbine group Grid connection status: 0 indicates that the wind turbine group is in an abnormal grid connection state; 1 indicates that it is in a normal grid connection state. Indicates wind turbine group Reactive power blocking status: 0 indicates no blocking; 1 indicates reactive power increase blocking; 2 indicates reactive power decrease blocking.

[0025] Suppose there are m wind turbine groups in abnormal grid-connected operation, and when the reactive power command increases or decreases, there are r wind turbine groups in reactive power increase or decrease lockout. From equation (2), the set of wind turbine groups participating in reactive power distribution of the entire station can be obtained. :

[0026] Reactive power instruction increment time: (4)

[0027] Reactive power command time reduction: (5)

[0028] At the same time, define the set S(p) of SVGs for all p instances of the site:

[0029] (6)

[0030] use Represents SVG device Grid connection status: 0 indicates an abnormal grid connection status; 1 indicates a normal grid connection status.

[0031] Represents SVG device Output interlock status: 0 indicates no interlock; 1 indicates output interlock.

[0032] Suppose that q SVGs are in an abnormal grid-connected operation state, and t SVGs are output-locked. From equation (2), the set of SVG devices participating in reactive power distribution throughout the station can be obtained. :

[0033] (7).

[0034] Furthermore, the operating status signals of each wind turbine group and SVG device specifically refer to whether each wind turbine group is in an abnormal grid-connected operation state or a reactive power lockout state, and whether each SVG device is in an abnormal grid-connected operation state or a power output lockout state.

[0035] Furthermore, based on the current operating conditions of each wind turbine group and SVG participating in the low-load distribution, a low-load distribution strategy is designed to ensure that the reactive power output of each wind turbine and SVG is not affected by the reactive power regulation dead zone, correctly responds to reactive power regulation commands, and ultimately achieves the regulation of reactive power output. Specifically, it is carried out as follows:

[0036] Combining the wind turbine groups obtained from equation (8) yields a set arranged in descending order of reactive power adjustability margin. :

[0037] (8)

[0038] (9)

[0039] in, Indicates wind turbine group The reactive power adjustability margin, in equation (8) if the calculation result is a set of multiple elements, then one of the elements is randomly selected as the result. ;

[0040] Recombining the SVG devices obtained from equation (10) yields a set arranged in descending order of reactive power adjustability margin. :

[0041] (10)

[0042] (11)

[0043] in, Represents SVG device The reactive power adjustability margin, in equation (10) if the calculation result is a set of multiple elements, then one of the elements is randomly selected as the result. .

[0044] Furthermore, the small load allocation strategy prioritizes based on demand, and is no longer constrained by the current strategy when certain boundary conditions are met, as follows:

[0045] 1) Adopt SVG priority strategy

[0046] Under normal circumstances, SVG needs to reserve a reasonable dynamic reactive power reserve to compensate for reactive power output during grid faults. Let its reserved dynamic margin limit be... :

[0047] ①From equation (12), we obtain the proposed allocation SVG device. Then the instruction Assigned to SVG device ;

[0048] (12)

[0049] ②If the output of equation (12) is From equation (13), the proposed allocation SVG device is obtained. Then the instruction according to Numerical proportions are allocated to the corresponding SVG devices .

[0050] (13)

[0051] 2) Adopt the strategy of prioritizing the minimum reactive power regulation accuracy.

[0052] Assuming the reactive power regulation accuracy of the wind turbine group is The reactive power regulation accuracy of SVG is ,when > At that time, according to Reactive power distribution is carried out using the reactive power adjustable margin of the stroke generator group:

[0053] ③The proposed allocation of wind turbine groups is obtained from equation (14). Then the instruction Allocated to wind turbine group ;

[0054] (14)

[0055] ④ If the output of equation (14) is From equation (15), the proposed allocation of wind turbine groups is obtained. Then the instruction The reactive power adjustable margin is allocated to the corresponding wind turbine group according to the proportion of the wind turbine group's reactive power adjustable margin. .

[0056] (15)

[0057] when < At that time, reactive power distribution shall be carried out according to the methods described in ① and ②.

[0058] 3) Supplementary Strategies

[0059] When certain boundary conditions are met, the supplementary strategy is executed regardless of the currently selected strategy:

[0060] The results of equations (14) and (15) are both At that time, reactive power distribution shall be carried out according to methods ① and ②;

[0061] The results of equations (12) and (13) are both At that time, reactive power distribution should be carried out according to methods ③ and ④;

[0062] The results of equations (12)-(15) are all In this case, the dynamic margin limit reserved by SVG is not considered, and the instruction is... Assigned to SVG device .

[0063] This invention also relates to a method for optimizing AVC reactive power small load allocation based on SVG, comprising the following steps:

[0064] Step (1) Compare the reactive power increment calculated by the total station voltage regulation command received by the AVC system with the reactive power small load allocation threshold value to determine whether to execute the reactive power small load allocation strategy.

[0065] Step (2) If reactive power load sharing is to be performed, logical judgment is made based on the operating status signals of each wind turbine group and SVG device to select the wind turbine group and SVG that can participate in reactive power load sharing;

[0066] Step (3) Based on the current operating conditions of each wind turbine group and SVG device participating in the small load distribution, design a small load distribution strategy so that the reactive power output of the wind turbine units and the reactive power output of the SVG device in each wind turbine group are not affected by the reactive power regulation dead zone, and correctly respond to the reactive power regulation command to finally achieve the regulation of reactive power output.

[0067] The present invention also relates to a computer system, including a memory, a processor, and a computer program on the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.

[0068] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0069] Based on the current operating conditions of each wind turbine group and SVG device participating in the small load distribution, this invention designs a reactive power small load distribution strategy. This strategy can ensure that the wind turbine group and SVG device correctly execute the reactive power small load adjustment command without being affected by the reactive power adjustment dead zone of the wind turbine and SVG device, and ultimately achieve the reactive power adjustment target, thereby improving the AVC control quality and solving the problem that the current wind farm automatic voltage control (AVC) cannot adjust to the required level when the voltage adjustment amount is small. Attached Figure Description

[0070] Figure 1 This is a block diagram of the system of the present invention;

[0071] Figure 2 This is the frame of the distribution controller of the present invention;

[0072] Figure 3 This is a flowchart of the method for performing the embodiment. Detailed Implementation

[0073] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Where specific techniques or conditions are not specified in the embodiments, they should be performed in accordance with the techniques or conditions described in the literature in the art or according to the product manual.

[0074] like Figure 1As shown, the SVG-based optimized wind farm AVC reactive power small load distribution system in this embodiment includes a distribution controller. The implementation platform consists of a wind farm turbine group monitoring system, an energy management platform, and an AVC system substation. The distribution controller is connected to the wind farm turbine group monitoring system, the energy management platform, and the AVC system.

[0075] The distribution controller receives instructions from the wind farm turbine group monitoring system and energy management platform, collects information, and also feeds back the collected data and final processing results to the wind farm turbine group monitoring system and energy management platform.

[0076] like Figure 2 As shown, the system in this embodiment includes a data acquisition unit, a processor, a memory, a display, and an input terminal. The data acquisition unit collects the reactive power regulation commands issued by the AVC system for the entire station. The processor receives the commands from the data acquisition unit, compares them with the pre-set reactive power small load allocation threshold value, and determines whether to execute the reactive power small load allocation strategy. Based on the status signal feedback of each wind turbine group and SVG device in the station, it determines whether the corresponding wind turbine group and SVG device participate in the reactive power small load allocation. Based on the current operating conditions of each wind turbine group and SVG device participating in the small load allocation, the reactive power small load allocation is performed. By following the above method, the reactive power output of each wind turbine unit is not affected by the unit's reactive power regulation dead zone, and the reactive power regulation commands are correctly responded to, ultimately achieving the regulation of reactive power output.

[0077] The memory stores the relevant information, and the display and input terminals can be existing displays with buttons or touch screens.

[0078] In this embodiment, the processor can be an integrated circuit with signal processing capabilities. During implementation, each step or module of the above method can be completed through integrated logic circuits in the processor element or through software instructions.

[0079] For example, these modules can be one or more integrated circuits configured to implement the above methods, such as one or more specific integrated circuits, one or more microprocessors, or one or more field-programmable gate arrays, etc. As another example, when a module is implemented through processing element scheduler code, the processing element can be a general-purpose processor, such as a central processing unit or other processor capable of calling program code. Furthermore, these modules can be integrated together to implement a system-on-a-chip.

[0080] In this embodiment, it can be implemented entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a readable storage medium or transmitted from one readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium, etc.

[0081] like Figure 3 As shown, based on the above system, the method for optimizing the reactive power distribution of wind farm AVC based on SVG in this embodiment includes the following steps:

[0082] Step (1) The processor, based on the specific requirements of the wind turbine group monitoring system, energy management platform, and AVC substation, compares the reactive power increment calculated by the wind farm automatic voltage control (AVC) system with the reactive power small load allocation threshold value to determine whether to execute the reactive power small load allocation strategy, as follows:

[0083] If equation (1) is satisfied, the non-small load allocation strategy is executed; otherwise, the small load allocation strategy is executed.

[0084] (1)

[0085] -Incremental reactive power adjustment commands for the entire station;

[0086] - Threshold value for reactive power small load allocation.

[0087] Step (2) The processor performs reactive power load allocation, and makes logical judgments based on the operating status signals of each wind turbine group and SVG device to select the wind turbine groups and SVG that can participate in the reactive power load allocation:

[0088] First, define a conditional selection function:

[0089] (2)

[0090] X - The selected object, which is a collection of multiple elements;

[0091] Y - The output result is the set of all elements in X that satisfy the conditions;

[0092] Condition i - Select the condition; the elements in X that satisfy the combination of conditions are output as the result.

[0093] &-Logical AND;

[0094] Define the set of n wind turbine groups across the entire site. :

[0095] (3)

[0096] use Indicates wind turbine group Grid connection status: 0 indicates that the wind turbine group is in an abnormal grid connection state; 1 indicates that it is in a normal grid connection state.

[0097] Indicates wind turbine group Reactive power blocking status: 0 indicates no blocking; 1 indicates reactive power increase blocking; 2 indicates reactive power decrease blocking.

[0098] Suppose there are m wind turbine groups in abnormal grid-connected operation, and when the reactive power command increases (decreases), there are r wind turbine groups in reactive power increase (decrease) lockout. From equation (2), the set of wind turbine groups participating in reactive power distribution throughout the station can be obtained. :

[0099] Reactive power instruction increment time: (4)

[0100] Reactive power command time reduction: (5)

[0101] Simultaneously define the set S(p) of SVGs for all p instances of the site:

[0102] (6)

[0103] use Represents SVG device Grid connection status: 0 indicates an abnormal grid connection status; 1 indicates a normal grid connection status.

[0104] Represents SVG device Output lockout status: 0 indicates no lockout; 1 indicates output lockout.

[0105] Suppose that q SVGs are in an abnormal grid-connected operation state, and t SVGs are output-locked. From equation (2), the set of SVG devices participating in reactive power distribution throughout the station can be obtained. :

[0106] (7)

[0107] Step (3) Based on the current operating conditions of each wind turbine group and SVG device participating in the small load distribution, design a reactive small load distribution strategy to ensure that the reactive power output of the wind turbine units and the reactive power output of the SVG device in each wind turbine group are not affected by their reactive power regulation dead zone, and correctly respond to the reactive power regulation command to finally achieve the goal of regulating reactive power output.

[0108] In step (3), combining the wind turbine groups obtained from equation (8) yields a set arranged in descending order of reactive power adjustability margin. :

[0109] (8)

[0110] (9)

[0111] in, Indicates wind turbine group The reactive power adjustability margin, in equation (8) if the calculation result is a set of multiple elements, then one of the elements is randomly selected as the result. .

[0112] Recombining the SVG devices obtained from equation (10) yields a set arranged in descending order of reactive power adjustability margin. :

[0113] (10)

[0114] (11)

[0115] in, Represents SVG device The reactive power adjustability margin, in equation (10) if the calculation result is a set of multiple elements, then one of the elements is randomly selected as the result. .

[0116] At this point, the small load allocation selects a strategy priority based on demand. When certain boundary conditions are met, it is no longer constrained by the current strategy, as follows:

[0117] 1) Adopt the SVG priority strategy.

[0118] Under normal circumstances, SVG needs to reserve a reasonable dynamic reactive power reserve to compensate for reactive power output during grid faults. Let its reserved dynamic margin limit be... :

[0119] ①From equation (12), we obtain the proposed allocation SVG device. Then the instruction Assigned to SVG device ;

[0120] (12)

[0121] ②If the output of equation (12) is From equation (13), the proposed allocation SVG device is obtained. Then the instruction according to Numerical proportions are allocated to the corresponding SVG devices .

[0122] (13)

[0123] 2) Adopt the strategy of prioritizing the minimum reactive power regulation accuracy.

[0124] Assuming the reactive power regulation accuracy of the wind turbine group is The reactive power regulation accuracy of SVG is ,when > At that time, according to Reactive power distribution is carried out using the reactive power adjustable margin of the stroke generator group:

[0125] ③The proposed allocation of wind turbine groups is obtained from equation (14). Then the instruction Allocated to wind turbine group ;

[0126] (14)

[0127] ④ If the output of equation (14) is From equation (15), the proposed allocation of wind turbine groups is obtained. Then the instruction The reactive power adjustable margin is allocated to the corresponding wind turbine group according to the proportion of the wind turbine group's reactive power adjustable margin. .

[0128] (15)

[0129] when < At that time, reactive power distribution shall be carried out according to the methods described in ① and ②.

[0130] 3) Supplementary strategies.

[0131] When certain boundary conditions are met, the supplementary strategy is executed regardless of the currently selected strategy:

[0132] The results of equations (14) and (15) are both At that time, reactive power distribution shall be carried out according to methods ① and ②;

[0133] The results of equations (12) and (13) are both At that time, reactive power distribution should be carried out according to methods ③ and ④;

[0134] The results of equations (12)-(15) are all In this case, the dynamic margin limit reserved by SVG is not considered, and the instruction is... Assigned to SVG device .

[0135] Optionally, embodiments of this application also provide a storage medium storing instructions that, when run on a computer, cause the computer to perform the methods described in the above embodiments.

[0136] Optionally, embodiments of this application also provide a chip for executing instructions, the chip being used to execute the methods of the embodiments shown above.

[0137] This application also provides a program product, which includes a computer program stored in a storage medium. At least one processor can read the computer program from the storage medium, and when the at least one processor executes the computer program, it can implement the method of the above embodiments.

[0138] As a specific application example:

[0139] A certain wind farm is equipped with 5 wind turbine groups. and 3 SVG devices Set a threshold value for low load allocation The reactive power regulation accuracy of the wind turbine group is 0.1MVar; the reactive power regulation accuracy of the SVG is 0.2MVar, with a reserved dynamic reactive power margin of 9MVar.

[0140] The operating status and data of each wind turbine group and SVG device collected by the wind turbine monitoring system and energy management platform are sent to the AVC system for logical judgment and reactive power allocation calculation. Table 1 shows the typical results of this example.

[0141] Table 1

[0142]

[0143] Therefore, this invention designs a reactive power small load allocation strategy based on the current operating conditions of each wind turbine group and SVG device participating in small load allocation. This strategy can ensure that the wind turbine group and SVG device correctly execute the reactive power small load adjustment command without being affected by the reactive power adjustment dead zone of the wind turbine and SVG device, and ultimately achieve the reactive power adjustment target, thereby improving the AVC control quality and solving the problem that the current wind farm automatic voltage control (AVC) cannot adjust to the required level when the voltage adjustment amount is small.

[0144] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A system for optimizing AVC reactive power small load distribution based on SVG, characterized in that: This includes a distribution controller, which connects to the wind farm's turbine cluster monitoring system, energy management platform, and AVC system. The distribution controller collects the reactive power regulation commands issued by the AVC system for the entire station, compares the reactive power increment calculated by the voltage regulation commands received by the AVC system with the reactive power small load allocation threshold value, and determines whether to execute the reactive power small load allocation strategy. Based on the operating status signals of each wind turbine group and SVG, logical judgments are made to select the wind turbine groups and SVGs that can participate in the distribution of small reactive loads; specifically, the following steps are taken: First, define a conditional selection function: (2) X - The selected object, which is a collection of multiple elements; Y - The output result is the set of all elements in X that satisfy the conditions; Condition i - Select the condition; the elements in X that satisfy the combination of conditions are output as the result. &-Logical AND; define a set of n fan groups for the entire station : (3) use Indicates wind turbine group Grid connection status: 0 indicates that the wind turbine group is in an abnormal grid connection state; 1 indicates that it is in a normal grid connection state. Indicates wind turbine group Reactive power blocking status: 0 indicates no blocking; 1 indicates reactive power increase blocking; 2 indicates reactive power decrease blocking. Suppose there are m wind turbine groups in abnormal grid-connected operation, and when the reactive power command increases or decreases, there are r wind turbine groups in reactive power increase or decrease lockout. From equation (2), the set of wind turbine groups participating in reactive power distribution of the entire station can be obtained. : Reactive power instruction increment time: (4) Reactive power command time reduction: (5) At the same time, define the set S(p) of SVGs for all p instances of the site: (6) use Represents SVG device Grid connection status: 0 indicates an abnormal grid connection status; 1 indicates a normal grid connection status. Represents SVG device Output interlock status: 0 indicates no interlock; 1 indicates output interlock. Suppose that q SVGs are in an abnormal grid-connected operation state, and t SVGs are output-locked. From equation (2), the set of SVG devices participating in reactive power distribution throughout the station can be obtained. : (7) Based on the current operating conditions of each wind turbine group and SVG participating in the small load distribution, a small load distribution strategy is designed so that the reactive power output of each wind turbine and SVG is not affected by the reactive power regulation dead zone, and correctly responds to the reactive power regulation command to ultimately regulate the reactive power output.

2. The system according to claim 1, characterized in that: The reactive power increment calculated from the station-wide voltage regulation command received by the AVC system is compared with the reactive power low-load allocation threshold value to determine whether to implement the reactive power low-load allocation strategy, as follows: If equation (1) is satisfied, the non-small load allocation strategy is executed; otherwise, the small load allocation strategy is executed. (1) -Incremental reactive power adjustment commands for the entire station; - Threshold value for reactive power small load allocation.

3. The system according to claim 1, characterized in that: The specific operating status signals for each wind turbine group and SVG device refer to whether each wind turbine group is in an abnormal grid-connected operating state or a reactive power lockout state, and whether each SVG device is in an abnormal grid-connected operating state or a power output lockout state.

4. The system according to claim 1, characterized in that: Based on the current operating conditions of each wind turbine group and SVG participating in the low-load distribution, a low-load distribution strategy is designed to ensure that the reactive power output of each wind turbine and SVG is not affected by the reactive power regulation dead zone, correctly responds to reactive power regulation commands, and ultimately achieves the regulation of reactive power output. Specifically, it is carried out as follows: Combining the wind turbine groups obtained from equation (8) yields a set arranged in descending order of reactive power adjustability margin. : (8) (9) in, Indicates wind turbine group The reactive power adjustability margin, in equation (8) if the calculation result is a set of multiple elements, then one of the elements is randomly selected as the result. ; Recombining the SVG devices obtained from equation (10) yields a set arranged in descending powers of reactive power adjustability margin. : (10) (11) in, Represents SVG device The reactive power adjustability margin, in equation (10) if the calculation result is a set of multiple elements, then one of the elements is randomly selected as the result. .

5. The system according to claim 4, characterized in that: Low-load allocation prioritizes strategies based on demand, but is no longer constrained by the current strategy when certain boundary conditions are met, as follows: 1) Adopt SVG priority strategy Under normal circumstances, SVG needs to reserve a reasonable dynamic reactive power reserve to compensate for reactive power output during grid faults. Let its reserved dynamic margin limit be... : ①From equation (12), we obtain the proposed allocation SVG device. Then the instruction will be Assigned to SVG device ; (12) ②If the output of equation (12) is From equation (13), the proposed allocation SVG device is obtained. Then the instruction will be according to Numerical proportions are allocated to the corresponding SVG devices , (13) 2) Adopt the strategy of prioritizing the minimum reactive power regulation accuracy. Assuming the reactive power regulation accuracy of the wind turbine group is The reactive power regulation accuracy of SVG is ,when > At that time, according to Reactive power distribution is carried out using the reactive power adjustable margin of the stroke generator group: ③The proposed allocation of the wind turbine group is obtained from equation (14). Then the instruction will be Allocated to wind turbine group ; (14) ④ If the output of equation (14) is From equation (15), the proposed allocation of wind turbine groups is obtained. Then the instruction will be The reactive power adjustable margin is allocated to the corresponding wind turbine group according to the proportion of the wind turbine group's reactive power adjustable margin. ; (15) when < At that time, reactive power distribution shall be carried out according to methods ① and ②; 3) Supplementary Strategies When certain boundary conditions are met, the supplementary strategy is executed regardless of the currently selected strategy: The results of equations (14) and (15) are both At that time, reactive power distribution shall be carried out according to methods ① and ②; The results of equations (12) and (13) are both At that time, reactive power distribution should be carried out according to methods ③ and ④; The results of equations (12)-(15) are all In this case, the dynamic margin limit reserved by SVG is not considered, and the instruction is... Assigned to SVG device .

6. A method based on the system of claim 1, characterized in that: Includes the following steps: Step (1) Compare the reactive power increment calculated by the total station voltage regulation command received by the AVC system with the reactive power small load allocation threshold value to determine whether to execute the reactive power small load allocation strategy. Step (2) If reactive power load sharing is to be performed, logical judgment is made based on the operating status signals of each wind turbine group and SVG device to select the wind turbine group and SVG that can participate in the reactive power load sharing; specifically, it is done as follows: First, define a conditional selection function: (2) X - The selected object, which is a collection of multiple elements; Y - The output result is the set of all elements in X that satisfy the conditions; Condition 1, Condition 2... are selection conditions; the elements in X that satisfy the combination of conditions are output as the result. &-Logical AND; Define the set of n wind turbine groups across the entire site. : (3) use Indicates wind turbine group Grid connection status: 0 indicates that the wind turbine group is in an abnormal grid connection state; 1 indicates that it is in a normal grid connection state. Indicates wind turbine group Reactive power blocking status: 0 indicates no blocking; 1 indicates reactive power increase blocking; 2 indicates reactive power decrease blocking. Suppose there are m wind turbine groups in abnormal grid-connected operation, and when the reactive power command increases or decreases, there are r wind turbine groups in reactive power increase or decrease lockout. From equation (2), the set of wind turbine groups participating in reactive power distribution of the entire station can be obtained. : Reactive power instruction increment time: (4) Reactive power command time reduction: (5) At the same time, define the set S(p) of SVGs for all p instances of the site: (6) use Represents SVG device Grid connection status: 0 indicates an abnormal grid connection status; 1 indicates a normal grid connection status. Represents SVG device Output interlock status: 0 indicates no interlock; 1 indicates output interlock. Suppose that q SVGs are in an abnormal grid-connected operation state, and t SVGs are output-locked. From equation (2), the set of SVG devices participating in reactive power distribution throughout the station can be obtained. : (7) Step (3) Based on the current operating conditions of each wind turbine group and SVG device participating in the small load distribution, design a small load distribution strategy so that the reactive power output of the wind turbine units and the reactive power output of the SVG device in each wind turbine group are not affected by the reactive power regulation dead zone, and correctly respond to the reactive power regulation command to finally achieve the regulation of reactive power output.

7. A computer system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, it implements the steps of the method described in claim 6.