Power distribution district distributed reactive power compensation intelligent group control method and device

Abstract

The application relates to a power distribution area distributed reactive power compensation intelligent group control method, which comprises the following steps: first, a power distribution area distributed reactive power compensation control model is established; a consistency theory node weight coefficient is set to improve the convergence speed and reduce system fluctuation; average consistency theory and restraint consistency theory are adopted to calculate the state parameters in the power distribution area distributed reactive power compensation control model; information interaction is carried out between local converters and adjacent converters; the state parameters are updated; the distributed reactive power compensation equipment in the power distribution network is made to work coordinately according to the specified working mode; intelligent grouping consistency theory is adopted to realize intelligent group control of the power distribution area; and finally, Lyapunov stability theory is adopted to calculate the stability of the power distribution area to verify the scientificity and effectiveness of the power distribution area distributed reactive power compensation intelligent group control strategy based on the consistency theory.

Description

Technical Field

[0001] This invention relates to the field of power grid operation and control technology, specifically to a method and device for intelligent group control of distributed reactive power compensation in distribution substations. Background Technology

[0002] With the advancement of my country's "dual-carbon" goals, more and more renewable distributed power sources are being connected to the distribution network, and their penetration rate is gradually increasing. The randomness and intermittency of renewable energy output also negatively impact the operation of the distribution network, such as frequent voltage exceedances and abnormally severe network losses. In terms of distribution network operation and management, problems exist such as increased voltage fluctuations, limited regulation methods, poor voltage regulation capabilities of substation reactive power compensation devices, and redundancy of reactive power compensation devices in distribution areas, leading to increased pressure on distribution line voltage regulation. These problems affect the stable power supply of the distribution network, urgently requiring innovative technologies and strategies to optimize reactive power compensation and dispatch. It is necessary to establish a distributed reactive power compensation control model for distribution areas and conduct droop control analysis to ensure the efficient and stable operation of the distribution network. In the operation mechanism of AC power grids, there is a characteristic that its frequency remains consistent throughout. Based on this characteristic, active power distribution is not affected by frequency recovery interference. However, the distribution of reactive power is quite different; line impedance mismatch often occurs. This mismatch leads to conflicts between the voltage recovery process and reactive power distribution. The communication network of the distribution area can be represented as an intelligent system containing many reactive power compensation devices. Since the communication network does not need to have the same topology as the actual distribution radio station, global consistency can be achieved by designing an intelligent group control network to control variables. Summary of the Invention

[0003] The purpose of this invention is to provide a distributed reactive power compensation intelligent group control method for distribution radio areas, so as to at least partially solve the problems existing in related technologies.

[0004] Firstly, this disclosure provides a method for intelligent group control of distributed reactive power compensation in a distribution radio station area, including:

[0005] Establish a distributed reactive power compensation control model for the distribution radio station area;

[0006] Using the average consistency theory and the constraint consistency theory, the state parameters in the reactive power compensation control model are calculated, and the core operating parameters of the reactive power compensation system are clarified.

[0007] By updating the status parameters of core operating parameters through information exchange among reactive power compensation devices in the distributed network of the distribution area, the reactive power compensation required for droop control deviation is calculated, and the model, algorithm and equipment action are connected.

[0008] By adopting the intelligent grouping consistency theory, different sub-reactive power compensation devices can achieve local optimal control, thus completing the intelligent group control of the distribution transformer area;

[0009] The stability of the distribution radio area was calculated using Lyapunov stability theory to verify the scientific validity and effectiveness of the proposed group control strategy.

[0010] Optionally, the core of establishing a distributed reactive power compensation control model for a distribution substation is to restore the voltage of the distribution substation by adjusting the distributed reactive power compensation equipment in the distribution network, including:

[0011] Define the core parameters of the model and clarify the key operating indicators of each reactive power compensation device, including the output voltage of the nth inverter. Variable reference voltage factor reactive power droop coefficient Output reactive power System rated voltage Reactive power compensation factor Voltage compensation factor ;

[0012] Establish the reactive power droop control expression for each reactive power compensation device:

[0013] ;

[0014] Define the composition relationship of the reference voltage factor to eliminate the voltage deviation caused by droop control:

[0015] ;

[0016] Based on the constraint consistency theory, a dynamic solution equation for the voltage compensation factor is established:

[0017] ;

[0018] in, yes The derivative with respect to time represents the rate of change of state. For the coupling weights of the consensus algorithm, The reference voltage for the system. For communication weighting coefficients, This represents the communication weighting coefficient between followers and leaders. Represents the set of all neighboring nodes of the nth inverter;

[0019] To ensure that the distribution of active and reactive power is not affected by the voltage recovery process, a power compensation factor is introduced. Based on consistency theory, its dynamic solution equation is established:

[0020] ;

[0021] in, yes The derivative with respect to time, For the coupling weights of the consensus algorithm, , These are the droop coefficients set for the nth and mth inverters, respectively. , This refers to the inverter's own output reactive power, measured in real time. This represents the set of all neighboring nodes of the nth inverter.

[0022] Optionally, the average consistency theory and the constrained consistency theory are used to calculate the state parameters in the reactive power compensation control model, and the core operating parameters of the reactive power compensation system are clarified, including:

[0023] Clearly define the specific types of state parameters, including reactive power and voltage. These parameters are used to describe and measure the state of the reactive power compensation system, and help to evaluate the compensation effect and the system operating status.

[0024] Based on the average consistency theory, information interaction rules between reactive power compensation devices in the system are defined, and the rules are used to describe the information transmission process between individuals.

[0025] Based on the control objective of reactive power compensation in the distribution area, an intelligent group control sub-strategy is designed based on the above information interaction rules, so that different reactive power compensation devices can perform regular information interaction through the communication network according to the sub-strategy, and achieve preliminary collaborative solution of key state parameters.

[0026] By combining the constraint consensus theory, some nodes in the network are selected to exchange information with the leader node. The selected nodes then exchange information with their neighboring nodes to optimize the dynamic solution of the voltage compensation factor, ensuring that the state parameters converge to the specified target value, simplifying the calculation process and saving communication costs.

[0027] Optionally, by updating the status parameters of core operating parameters through information exchange among reactive power compensation devices in the distributed network of the distribution substation, the required reactive power compensation for droop control deviation is calculated, and the connection between the model, algorithm, and equipment actions includes:

[0028] Construct information exchange channels for the distributed network of the distribution substation area to realize real-time data transmission between various reactive power compensation devices, including their own output voltage, reactive power and other status parameters.

[0029] Based on the neighboring device data obtained through interaction, update the status parameters of the local device to ensure that the parameters reflect the real-time operating status of the system;

[0030] The core applicable condition for droop control is defined as follows: when the equivalent output impedance is inductive, it satisfies... ,in It is the resistance component in the circuit. It is the inductive component in the circuit. It is the total impedance in the circuit;

[0031] Based on the above conditions, the expressions for the active power and reactive power of the inverter are established as follows:

[0032] ;

[0033] ;

[0034] in, It is the voltage amplitude. Let be the output active power of the nth inverter.

[0035] Optionally, when distributed power sources are operating in parallel, a droop control core formula is established:

[0036] ;

[0037] ;

[0038] in, , These are the inverter's rated reference frequency and rated reference voltage, respectively. , These are the active power droop factor and reactive power droop factor of the inverter, respectively; during steady-state operation of the system, the frequency... As a global variable of the system, all inverters must operate at the same frequency to maintain synchronization, and active power is distributed according to the droop factor; output voltage This is a local variable of the system, related to the line impedance; each inverter outputs reactive power through local measurement. Adjust its own output voltage according to the voltage droop formula mentioned above;

[0039] Determine the relationship between reactive power and capacity ratio to ensure reasonable allocation:

[0040] ;

[0041] in, , Let be the rated capacities of the nth and mth inverters, respectively; substituting this allocation relationship into the voltage droop formula, we get:

[0042] ;

[0043] To ensure that the reactive power output of each inverter is proportional to its capacity;

[0044] Calculate the droop control deviation based on the updated state parameters and droop control formula. , The target reactive power is then used to determine the required reactive power compensation.

[0045] Optionally, intelligent group consensus theory is adopted to enable different sub-reactive power compensation devices to achieve local optimal control, thereby completing the intelligent group control of the distribution transformer area, including:

[0046] The reactive power compensation equipment in the distribution area is intelligently grouped and divided into different subgroups, so that each subgroup corresponds to a specific local control target;

[0047] The Lagrange multiplier method is used to solve for the extreme value of the intelligent group scheduling cost, and the Lagrange function is established:

[0048] ;

[0049] in, It is the intelligent group scheduling cost of the i-th reactive power compensation device. It is a Lagrange multiplier. It is the reactive power of the i-th reactive power compensation device. It is the total reactive power demand of the feeder where the equipment is located;

[0050] make The incremental rate of the i-th reactive power compensation device is obtained. When the incremental rate of each reactive power compensation device in the distribution network When the costs are the same, the intelligent group scheduling of the distribution network has the lowest cost;

[0051] make Let be the intelligent group scheduling cost function for the nth reactive power compensation device. For the reactive power output of the nth reactive power compensation device, establish a droop control equation that includes the cost of intelligent group scheduling:

[0052] ;

[0053] in, Let n be the incremental rate of the nth reactive power compensation device. This is the reference or baseline value for the nth device. It is a positive proportionality coefficient;

[0054] Voltage compensation factor Rewritten as:

[0055] ;

[0056] in, It is a positive control gain used to adjust the response speed and strength of state consistency control. These are the adjacency matrix elements of the communication topology graph, representing weight coefficients. It is the incremental rate of reactive power of the m-th device in the n-th reactive power compensation device;

[0057] Based on the above formula, a reactive power control equation based on consensus theory is obtained, which takes into account the cost of intelligent group scheduling. Through the consensus algorithm, the incremental rate of reactive power compensation equipment in different subgroups is made consistent, so as to realize the rational allocation of reactive power of the distribution network according to the cost of intelligent group scheduling. Each subgroup achieves local optimal control, and finally completes the intelligent group control of the entire distribution area.

[0058] Optionally, the stability of the distribution radio area is calculated using Lyapunov stability theory to verify the scientific validity and effectiveness of the group control strategy, including:

[0059] Introducing Lyapunov stability theory, a Lyapunov function applicable to reactive power compensation systems in distribution substations is defined. The function must satisfy the positive definite condition. ;

[0060] Combination Derive the derivative of the Lyapunov function. ;

[0061] analyze The sign characteristics, if This indicates that the reactive power compensation system of the distribution substation has converged to a stable equilibrium point, and the system is operating stably.

[0062] Secondly, a distributed reactive power compensation intelligent group control device for a distribution transformer area is provided, comprising:

[0063] The compensation control model module is used to establish a distributed reactive power compensation control model for distribution substations.

[0064] The reactive power compensation calculation module is used to calculate the state parameters in the reactive power compensation control model using the average consistency theory and the constraint consistency theory, and to clarify the core operating parameters of the reactive power compensation system.

[0065] The control deviation calculation module is used to update the status parameters of the core operating parameters through information interaction between various reactive power compensation devices in the distributed network of the distribution area, calculate the reactive power compensation required for the droop control deviation, and connect the model, algorithm and equipment action.

[0066] The local optimal module is used to employ intelligent group consensus theory to enable different sub-reactive power compensation devices to achieve local optimal control, thereby completing the intelligent group control of the distribution transformer area.

[0067] The verification module is used to calculate the stability of the distribution radio area using Lyapunov stability theory, and to verify the scientificity and effectiveness of the group control strategy.

[0068] Optionally, the compensation control model module includes a module for defining core model parameters, a module for establishing reactive power compensation, a module for eliminating voltage deviation, and a module for establishing voltage compensation factors.

[0069] Optionally, the reactive power compensation calculation module includes a defined state parameter module, an information interaction module, and a preliminary collaborative solution module.

[0070] The technical solutions provided by the embodiments of this disclosure may include the following beneficial effects:

[0071] First, a distributed reactive power compensation control model for the distribution substation is established. Consistency theory node weight coefficients are set to improve convergence speed and reduce system fluctuations. The average consistency theory and constrained consistency theory are used to calculate the state parameters in the distributed reactive power compensation control model. Information exchange between local and neighboring converters updates the state parameters, enabling the distributed reactive power compensation devices in the distribution network to coordinate their operation according to a specified working mode. Intelligent group consistency theory is employed to achieve intelligent group control of the distribution substation. Finally, Lyapunov stability theory is used to calculate the stability of the distribution substation to verify the scientific validity and effectiveness of the consistency theory-based intelligent group control strategy for distributed reactive power compensation in the distribution substation. Attached Figure Description

[0072] Figure 1 This is a flowchart illustrating an intelligent group control method for distributed reactive power compensation in a distribution substation, according to an exemplary embodiment of this disclosure.

[0073] Figure 2 This is a schematic diagram of the operation mode of the distribution radio station group.

[0074] Figure 3 This is a diagram showing the local optimal control results after intelligent grouping.

[0075] Figure 4 It is a voltage curve diagram of the distribution stations before and after intelligent group control. Detailed Implementation

[0076] The specific embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit this disclosure.

[0077] In this disclosure, unless otherwise stated, directional terms such as "upper," "lower," "front," "rear," "left," and "right" are used for ease of description based on the drawing orientations of the corresponding figures, while "inner" and "outer" are defined based on the contours of the corresponding components themselves. Terms such as "first" and "second" used in this disclosure are used to distinguish one element from another and do not have sequential or importance implications. Furthermore, when the following description refers to the figures, unless otherwise indicated, the same numbers in different figures represent the same or similar elements.

[0078] Please see Figures 1 to 4 This disclosure provides a method for intelligent group control of distributed reactive power compensation in a distribution radio station area, comprising:

[0079] Establish a distributed reactive power compensation control model for the distribution radio station area;

[0080] Using the average consistency theory and the constraint consistency theory, the state parameters in the reactive power compensation control model are calculated, and the core operating parameters of the reactive power compensation system are clarified.

[0081] By updating the status parameters of core operating parameters through information exchange among reactive power compensation devices in the distributed network of the distribution area, the reactive power compensation required for droop control deviation is calculated, and the model, algorithm and equipment action are connected.

[0082] By adopting the intelligent grouping consistency theory, different sub-reactive power compensation devices can achieve local optimal control, thus completing the intelligent group control of the distribution transformer area;

[0083] The stability of the distribution radio area was calculated using Lyapunov stability theory to verify the scientific validity and effectiveness of the proposed group control strategy.

[0084] Understandably, the process begins by establishing a distributed reactive power compensation control model for the distribution substation. Consistency theory node weight coefficients are set to improve convergence speed and reduce system fluctuations. Average consistency theory and constrained consistency theory are used to calculate the state parameters in the distributed reactive power compensation control model. Information exchange between local and neighboring converters updates the state parameters, enabling the distributed reactive power compensation devices in the distribution network to coordinate their operation according to a specified working mode. Intelligent group consistency theory is then employed to achieve intelligent group control of the distribution substation. Finally, Lyapunov stability theory is used to calculate the stability of the distribution substation to verify the scientific validity and effectiveness of the consistency theory-based intelligent group control strategy for distributed reactive power compensation in the distribution substation.

[0085] 1. The distributed reactive power compensation intelligent group control strategy for distribution substations based on consistency theory can improve the reliability of system startup. Currently, distribution network voltage regulation methods are limited, resulting in insufficient voltage regulation capacity in the face of severe voltage fluctuations, failing to meet the ever-increasing electricity demand. However, the distributed reactive power compensation intelligent group control strategy for distribution substations based on consistency theory, through information exchange between nodes and energy sharing between different subnetworks, can significantly improve the reliability and stability of the system's power supply.

[0086] 2. This method is easy to implement. Based on the existing droop control, an intelligent group control strategy is added, and a constant incremental rate control strategy based on the group consensus algorithm is adopted to achieve optimal local operating cost control within the distribution substation area. This method simplifies the system control complexity while ensuring the economical operation of the microgrid group, and the control strategy is easy to execute.

[0087] Optionally, the core of establishing a distributed reactive power compensation control model for a distribution substation is to restore the voltage of the distribution substation by adjusting the distributed reactive power compensation equipment in the distribution network, including:

[0088] Define the core parameters of the model and clarify the key operating indicators of each reactive power compensation device, including the output voltage of the nth inverter. Variable reference voltage factor reactive power droop coefficient Output reactive power System rated voltage Reactive power compensation factor Voltage compensation factor ;

[0089] Establish the reactive power droop control expression for each reactive power compensation device:

[0090] ;

[0091] Define the composition relationship of the reference voltage factor to eliminate the voltage deviation caused by droop control:

[0092] ;

[0093] Based on the constraint consistency theory, a dynamic solution equation for the voltage compensation factor is established:

[0094] ;

[0095] in, yes The derivative with respect to time represents the rate of change of state. For the coupling weights of the consensus algorithm, The reference voltage for the system. For communication weighting coefficients, This represents the communication weighting coefficient between followers and leaders. Represents the set of all neighboring nodes of the nth inverter;

[0096] To ensure that the distribution of active and reactive power is not affected by the voltage recovery process, a power compensation factor is introduced. Based on consistency theory, its dynamic solution equation is established:

[0097] ;

[0098] in, yes The derivative with respect to time, For the coupling weights of the consensus algorithm, , These are the droop coefficients set for the nth and mth inverters, respectively. , This refers to the inverter's own output reactive power, measured in real time. This represents the set of all neighboring nodes of the nth inverter.

[0099] Optionally, the average consistency theory and the constrained consistency theory are used to calculate the state parameters in the reactive power compensation control model, and the core operating parameters of the reactive power compensation system are clarified, including:

[0100] Clearly define the specific types of state parameters, including reactive power and voltage. These parameters are used to describe and measure the state of the reactive power compensation system, and help to evaluate the compensation effect and the system operating status.

[0101] Based on the average consistency theory, information interaction rules between reactive power compensation devices in the system are defined, and the rules are used to describe the information transmission process between individuals.

[0102] Based on the control objective of reactive power compensation in the distribution area, an intelligent group control sub-strategy is designed based on the above information interaction rules, so that different reactive power compensation devices can perform regular information interaction through the communication network according to the sub-strategy, and achieve preliminary collaborative solution of key state parameters.

[0103] By combining the constraint consensus theory, some nodes in the network are selected to exchange information with the leader node. The selected nodes then exchange information with their neighboring nodes to optimize the dynamic solution of the voltage compensation factor, ensuring that the state parameters converge to the specified target value, simplifying the calculation process and saving communication costs.

[0104] Optionally, by updating the status parameters of core operating parameters through information exchange among reactive power compensation devices in the distributed network of the distribution substation, the required reactive power compensation for droop control deviation is calculated, and the connection between the model, algorithm, and equipment actions includes:

[0105] Construct information exchange channels for the distributed network of the distribution substation area to realize real-time data transmission between various reactive power compensation devices, including their own output voltage, reactive power and other status parameters.

[0106] Based on the neighboring device data obtained through interaction, update the status parameters of the local device to ensure that the parameters reflect the real-time operating status of the system;

[0107] The core applicable condition for droop control is defined as follows: when the equivalent output impedance is inductive, it satisfies... ,in It is the resistance component in the circuit. It is the inductive component in the circuit. It is the total impedance in the circuit;

[0108] Based on the above conditions, the expressions for the active power and reactive power of the inverter are established as follows:

[0109] ;

[0110] ;

[0111] in, It is the voltage amplitude. Let be the output active power of the nth inverter.

[0112] Optionally, when distributed power sources are operating in parallel, a droop control core formula is established:

[0113] ;

[0114] ;

[0115] in, , These are the inverter's rated reference frequency and rated reference voltage, respectively. , These are the active power droop factor and reactive power droop factor of the inverter, respectively; during steady-state operation of the system, the frequency... As a global variable of the system, all inverters must operate at the same frequency to maintain synchronization, and active power is distributed according to the droop factor; output voltage This is a local variable of the system, related to the line impedance; each inverter outputs reactive power through local measurement. Adjust its own output voltage according to the voltage droop formula mentioned above;

[0116] Determine the relationship between reactive power and capacity ratio to ensure reasonable allocation:

[0117] ;

[0118] in, , Let be the rated capacities of the nth and mth inverters, respectively; substituting this allocation relationship into the voltage droop formula, we get:

[0119] ;

[0120] To ensure that the reactive power output of each inverter is proportional to its capacity;

[0121] Calculate the droop control deviation based on the updated state parameters and droop control formula. , The target reactive power is then used to determine the required reactive power compensation.

[0122] Optionally, intelligent group consensus theory is adopted to enable different sub-reactive power compensation devices to achieve local optimal control, thereby completing the intelligent group control of the distribution transformer area, including:

[0123] The reactive power compensation equipment in the distribution area is intelligently grouped and divided into different subgroups, so that each subgroup corresponds to a specific local control target;

[0124] The Lagrange multiplier method is used to solve for the extreme value of the intelligent group scheduling cost, and the Lagrange function is established:

[0125] ;

[0126] in, It is the intelligent group scheduling cost of the i-th reactive power compensation device. It is a Lagrange multiplier. It is the reactive power of the i-th reactive power compensation device. It is the total reactive power demand of the feeder where the equipment is located;

[0127] make The incremental rate of the i-th reactive power compensation device is obtained. When the incremental rate of each reactive power compensation device in the distribution network When the costs are the same, the intelligent group scheduling of the distribution network has the lowest cost;

[0128] make Let be the intelligent group scheduling cost function for the nth reactive power compensation device. For the reactive power output of the nth reactive power compensation device, establish a droop control equation that includes the cost of intelligent group scheduling:

[0129] ;

[0130] in, Let n be the incremental rate of the nth reactive power compensation device. This is the reference or baseline value for the nth device. It is a positive proportionality coefficient;

[0131] Voltage compensation factor Rewritten as:

[0132] ;

[0133] in, It is a positive control gain used to adjust the response speed and strength of state consistency control. These are the adjacency matrix elements of the communication topology graph, representing weight coefficients. It is the incremental rate of reactive power of the m-th device in the n-th reactive power compensation device;

[0134] Based on the above formula, a reactive power control equation based on consensus theory is obtained, which takes into account the cost of intelligent group scheduling. Through the consensus algorithm, the incremental rate of reactive power compensation equipment in different subgroups is made consistent, so as to realize the rational allocation of reactive power of the distribution network according to the cost of intelligent group scheduling. Each subgroup achieves local optimal control, and finally completes the intelligent group control of the entire distribution area.

[0135] Optionally, the stability of the distribution radio area is calculated using Lyapunov stability theory to verify the scientific validity and effectiveness of the group control strategy, including:

[0136] Introducing Lyapunov stability theory, a Lyapunov function applicable to reactive power compensation systems in distribution substations is defined. The function must satisfy the positive definite condition. ;

[0137] Combination Derive the derivative of the Lyapunov function. ;

[0138] analyze The sign characteristics, if This indicates that the reactive power compensation system of the distribution substation has converged to a stable equilibrium point, and the system is operating stably.

[0139] Secondly, a distributed reactive power compensation intelligent group control device for a distribution transformer area is provided, comprising:

[0140] The compensation control model module is used to establish a distributed reactive power compensation control model for distribution substations.

[0141] The reactive power compensation calculation module is used to calculate the state parameters in the reactive power compensation control model using the average consistency theory and the constraint consistency theory, and to clarify the core operating parameters of the reactive power compensation system.

[0142] The control deviation calculation module is used to update the status parameters of the core operating parameters through information interaction between various reactive power compensation devices in the distributed network of the distribution area, calculate the reactive power compensation required for the droop control deviation, and connect the model, algorithm and equipment action.

[0143] The local optimal module is used to employ intelligent group consensus theory to enable different sub-reactive power compensation devices to achieve local optimal control, thereby completing the intelligent group control of the distribution transformer area.

[0144] The verification module is used to calculate the stability of the distribution radio area using Lyapunov stability theory, and to verify the scientificity and effectiveness of the group control strategy.

[0145] Optionally, the compensation control model module includes a module for defining core model parameters, a module for establishing reactive power compensation, a module for eliminating voltage deviation, and a module for establishing voltage compensation factors.

[0146] Optionally, the reactive power compensation calculation module includes a defined state parameter module, an information interaction module, and a preliminary collaborative solution module. This invention has been described through embodiments. Those skilled in the art will understand that various changes or equivalent substitutions can be made to these features and embodiments without departing from the spirit and scope of this invention. Furthermore, under the teachings of this invention, these features and embodiments can be modified to adapt to specific situations and materials without departing from the spirit and scope of this invention. Therefore, this invention is not limited to the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application are within the protection scope of this invention.

Claims

1. A method for intelligent group control of distributed reactive power compensation in a distribution radio station area, characterized in that, include: Establish a distributed reactive power compensation control model for the distribution transformer area, including: Define the core parameters of the model and clarify the key operating indicators of each reactive power compensation device, including the output voltage of the nth inverter. Variable reference voltage factor reactive power droop coefficient Output reactive power System rated voltage Reactive power compensation factor Voltage compensation factor ; Establish the reactive power droop control expression for each reactive power compensation device: ； Define the composition relationship of the reference voltage factor to eliminate the voltage deviation caused by droop control: ； Based on the constraint consistency theory, a dynamic solution equation for the voltage compensation factor is established: ； in, yes The derivative with respect to time represents the rate of change of state. For the coupling weights of the consensus algorithm, The reference voltage for the system. For communication weighting coefficients, This represents the communication weighting coefficient between followers and leaders. Represents the set of all neighboring nodes of the nth inverter; To ensure that the distribution of active and reactive power is not affected by the voltage recovery process, a power compensation factor is introduced. Based on consistency theory, its dynamic solution equation is established: ； in, yes The derivative with respect to time, For the coupling weights of the consensus algorithm, , These are the droop coefficients set for the nth and mth inverters, respectively. , This refers to the inverter's own output reactive power, measured in real time. Represents the set of all neighboring nodes of the nth inverter; Using the average consistency theory and the constraint consistency theory, the state parameters in the reactive power compensation control model are calculated, and the core operating parameters of the reactive power compensation system are clarified. By updating the status parameters of core operating parameters through information exchange among reactive power compensation devices in the distributed network of the distribution area, the reactive power compensation required for droop control deviation is calculated, and the model, algorithm and equipment action are connected. By employing intelligent group consensus theory, different sub-reactive power compensation devices can achieve local optimal control, thus completing intelligent group control of the distribution transformer area, including: The reactive power compensation equipment in the distribution area is intelligently grouped and divided into different subgroups, so that each subgroup corresponds to a specific local control target; The Lagrange multiplier method is used to solve for the extreme value of the intelligent group scheduling cost, and the Lagrange function is established: ； in, It is the intelligent group scheduling cost of the i-th reactive power compensation device. It is a Lagrange multiplier. It is the reactive power of the i-th reactive power compensation device. It is the total reactive power demand of the feeder where the equipment is located; make The incremental rate of the i-th reactive power compensation device is obtained. When the incremental rate of each reactive power compensation device in the distribution network When the costs are the same, the intelligent group scheduling of the distribution network has the lowest cost; make Let be the intelligent group scheduling cost function for the nth reactive power compensation device itself. For the reactive power output of the nth reactive power compensation device, establish a droop control equation that includes the cost of intelligent group scheduling: ； in, Let n be the incremental rate of the nth reactive power compensation device. This is the reference or baseline value for the nth device. It is a positive proportionality coefficient; Voltage compensation factor Rewritten as: ； in, It is a positive control gain used to adjust the response speed and strength of state consistency control. These are the adjacency matrix elements of the communication topology graph, representing weight coefficients. It is the incremental rate of reactive power of the m-th device in the n-th reactive power compensation device; Based on the above formula, a reactive power control equation based on consistency theory that considers the cost of intelligent group scheduling is obtained. The stability of the distribution radio area was calculated using Lyapunov stability theory to verify the scientific validity and effectiveness of the group control strategy.

2. The intelligent group control method for distributed reactive power compensation in a distribution substation according to claim 1, characterized in that, Using average consistency theory and constrained consistency theory, the state parameters in the reactive power compensation control model are calculated, and the core operating parameters of the reactive power compensation system are identified as follows: Clearly define the specific types of state parameters, including reactive power and voltage. These parameters are used to describe and measure the state of the reactive power compensation system, and help to evaluate the compensation effect and the system operating status. Based on the average consistency theory, information interaction rules between reactive power compensation devices in the system are defined, and the rules are used to describe the information transmission process between individuals. Based on the control objective of reactive power compensation in the distribution area, an intelligent group control sub-strategy is designed based on the above information interaction rules, so that different reactive power compensation devices can perform regular information interaction through the communication network according to the sub-strategy, and achieve preliminary collaborative solution of key state parameters. By combining the constraint consensus theory, some nodes in the network are selected to exchange information with the leader node. The selected nodes then exchange information with their neighboring nodes to optimize the dynamic solution of the voltage compensation factor, ensuring that the state parameters converge to the specified target value, simplifying the calculation process and saving communication costs.

3. The intelligent group control method for distributed reactive power compensation in a distribution substation according to claim 2, characterized in that, By updating the status parameters of core operating parameters through information exchange among reactive power compensation devices in the distributed network of the distribution substation, the reactive power compensation required for droop control deviation is calculated, and the connection between the model, algorithm, and equipment actions includes: Construct information exchange channels for the distributed network of the distribution substation area to realize real-time data transmission between various reactive power compensation devices, including their own output voltage and reactive power status parameters. Based on the neighboring device data obtained through interaction, update the status parameters of the local device to ensure that the parameters reflect the real-time operating status of the system; The core applicable condition for droop control is defined as follows: when the equivalent output impedance is inductive, it satisfies... ,in It is the resistance component in the circuit. It is the inductive component in the circuit. It is the total impedance in the circuit; Based on the above conditions, the expressions for the active power and reactive power of the inverter are established as follows: ； ； in, It is the voltage amplitude. Let be the output active power of the nth inverter.

4. The intelligent group control method for distributed reactive power compensation in a distribution substation according to claim 3, characterized in that, When distributed power sources are operating in parallel, the core formula for droop control is established: ； ； in, , These are the inverter's rated reference frequency and rated reference voltage, respectively. , These are the active power droop factor and reactive power droop factor of the inverter, respectively; during steady-state operation of the system, the frequency... As a global variable of the system, all inverters must operate at the same frequency to maintain synchronization, and active power is distributed according to the droop factor; output voltage This is a local variable of the system, related to the line impedance; each inverter outputs reactive power through local measurement. Adjust its own output voltage according to the above formula; Determine the relationship between reactive power and capacity ratio to ensure reasonable allocation: ； in, , Let be the rated capacities of the nth and mth inverters, respectively; substituting this allocation relationship into the voltage droop formula, we get: ； To ensure that the reactive power output of each inverter is proportional to its capacity; Calculate the droop control deviation based on the updated state parameters and droop control formula. , The target reactive power is then used to determine the required reactive power compensation.

5. The intelligent group control method for distributed reactive power compensation in a distribution substation according to claim 1, characterized in that, The stability of the distribution radio area is calculated using Lyapunov stability theory, and the scientific validity and effectiveness of the proposed group control strategy are verified by: Introducing Lyapunov stability theory, a Lyapunov function applicable to reactive power compensation systems in distribution substations is defined. The function must satisfy the positive definite condition. ; Combination Derive the derivative of the Lyapunov function. ; analyze The sign characteristics, if This indicates that the reactive power compensation system of the distribution substation has converged to a stable equilibrium point, and the system is operating stably.

6. A distributed reactive power compensation intelligent group control device for a distribution radio area, characterized in that, include: The compensation control model module is used to establish a distributed reactive power compensation control model for distribution substations. The reactive power compensation calculation module is used to calculate the state parameters in the reactive power compensation control model using the average consistency theory and the constraint consistency theory, and to clarify the core operating parameters of the reactive power compensation system. The control deviation calculation module is used to update the status parameters of the core operating parameters through information interaction between various reactive power compensation devices in the distributed network of the distribution area, calculate the reactive power compensation required for the droop control deviation, and connect the model, algorithm and equipment action. The local optimal module is used to employ intelligent group consensus theory to enable different sub-reactive power compensation devices to achieve local optimal control, thereby completing the intelligent group control of the distribution transformer area. The verification module is used to calculate the stability of the distribution radio area using Lyapunov stability theory, and to verify the scientific validity and effectiveness of the group control strategy.

7. The intelligent group control device for distributed reactive power compensation in a distribution substation according to claim 6, characterized in that, The compensation control model module includes a module for defining core model parameters, a module for establishing reactive power compensation, a module for eliminating voltage deviation, and a module for establishing voltage compensation factors.

8. The intelligent group control device for distributed reactive power compensation in a distribution substation according to claim 6, characterized in that, The reactive power compensation calculation module includes a defined state parameter module, an information interaction module, and a preliminary collaborative solution module.

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