Wind power plant loss reduction reactive power replacement method based on bivariate consistency algorithm

Abstract

The invention provides a wind power plant loss reduction reactive power replacement method based on a double-variable consistency algorithm, which comprises the following steps of: respectively installing a central controller and a feeder layer controller on a low-voltage side bus and each feeder of a wind power plant main transformer, each controller updates a network loss consistency variable and a voltage consistency variable through information of the controller and an adjacent controller; the central controller obtains real-time reactive power output of the static var generator, and the feeder layer controller obtains real-time voltage of a feeder tail end node and reactive power limit data of a fan in a feeder; a feeder layer controller distributes replacement reactive power to each fan on a feeder according to a network loss consistency variable on the premise of ensuring that the voltage of a tail end node is not out of limit; and the central controller updates a reactive power deviation elimination item in the network loss consistency variable, and the feeder layer controller updates a voltage out-of-limit penalty item in the voltage consistency variable. According to the method, the reactive power of the wind power plant is distributed through centralized calculation, the control efficiency and robustness are improved, and the method has very high engineering application value.

Description

Technical Field

[0001] This invention relates to the field of reactive power and voltage control in wind farms, and particularly to a method for reducing reactive power in wind farms based on a bivariate consensus algorithm. Background Technology

[0002] With the commissioning of a series of large-capacity offshore wind farms, my country's cumulative installed capacity of offshore wind power will exceed 60GW by 2025. However, the accompanying voltage problem is becoming increasingly prominent: on the one hand, offshore wind power is transmitted through long-distance AC submarine cables, and its reactive power charging increases the risk of overvoltage; on the other hand, the reactive power loss changes of large-scale power collection networks under the influence of random wind speeds may cause drastic voltage fluctuations, and even lead to the wind turbines being disconnected from the grid. To ensure the safe and stable operation of the power grid, relevant national standards stipulate that the reactive power regulation capability of wind farms must not only compensate for their own reactive power losses, but also be able to respond to voltage commands issued by dispatch at a certain speed.

[0003] Given the high cost of dynamic reactive power compensation devices such as Static Var Generators (SVG), a reasonable strategy needs to be designed to coordinate and control the SVG and wind turbines to efficiently utilize reactive power. Some researchers only invoke the SVG when the reactive power demand cannot be met even after the wind turbine is operating at reduced load. Others achieve voltage fluctuation suppression and active voltage support functions by prioritizing the use of reactive power from the wind turbine and SVG respectively. These methods all treat the wind turbine as an ideal model that responds to reactive power commands instantaneously. However, in practice, reactive power control in large wind farms is significantly affected by internal communication delays, and the SVG remains the preferred choice for quickly responding to voltage commands and suppressing voltage fluctuations. To balance dynamic performance and reactive power margin, some researchers have further proposed a reactive power substitution method, allowing the SVG and wind turbine to be adjusted in stages.

[0004] Considering the long-term nature of reactive power compensation and voltage regulation requirements for submarine cables, reactive power substitution will continue. During this period, the increased reactive power flow in the power collection network will increase active power losses, impacting operational economics. Among loss reduction methods, some scholars have calculated the wind turbine reactive power allocation to minimize network losses using optimal power flow calculations, while others have proposed adaptive switching of voltage and network loss objective functions. Although such centralized control methods can ensure a globally optimal solution, the solution time increases significantly with the scale of the wind farm. Furthermore, centralized control requires all wind turbines to communicate directly with the central controller to upload real-time measurement status and receive reactive power commands, increasing the demands on the wind farm's communication capabilities. In addition, its calculation process relies entirely on the central controller, making it extremely vulnerable to central controller failures. Regarding distributed control, some scholars have proposed a distributed reactive power control method based on the Alternating Directional Multiplier Method (ADMM) to improve control frequency, while others have further enhanced the ability to cope with communication delays through asynchronous ADMM. Compared with the ADMM-based methods mentioned above, distributed control based on consensus algorithms can combine distributed power allocation with local voltage control, and has stronger robustness. Although there has been much research on its implementation of economic grid dispatch, it has not yet been applied to reactive power optimization problems with network loss as the objective function, and thus cannot achieve the goal of safe and economical operation of wind farms. Summary of the Invention

[0005] To address at least one of the problems existing in current technologies, this invention provides a reactive power replacement method for wind farms based on a bivariate consensus algorithm. This method releases the dynamic reactive power margin of the SVG (Static Var Generator) while ensuring wind farm voltage safety, and simultaneously reduces network losses in the collector lines. It boasts high computational efficiency and robustness. Compared to traditional methods that centrally calculate and allocate reactive power from the wind farm, this method improves control efficiency and robustness, and has significant engineering application value.

[0006] To achieve the objectives of this invention, a method for reducing reactive power in wind farms based on a bivariate consensus algorithm is proposed. A central controller is installed on the low-voltage side busbar of the main transformer in the wind farm, and feeder-level controllers are installed on each feeder. These controllers form a multi-agent network with bidirectional communication capabilities. The method includes the following steps: The central controller measures the reactive power output of the SVG online, while the feeder layer controller acquires the line resistance and node voltage-reactive power sensitivity within the feeder offline, and measures the active power output of the wind turbine and the voltage at the end node online. This allows for the calculation of the wind turbine's reactive power limit; The feeder layer controller calculates the network loss consistency variable respectively. and end node voltage Regarding the total reactive power generated by the fan on the feeder line The set of inflection points of a piecewise linear function; The central controller determines whether the voltage consistency variable is negative. If it is negative, it sets it to 0; if it is non-negative, the voltage consistency variable remains unchanged. The feeder layer controller determines the network loss consistency variable. Whether it is in the inflection point set If the function's range is exceeded, all fans in the feeder will generate reactive power according to their limit values; if the range is not exceeded, then based on... The function determines the total reactive power generated by the wind turbine. and the total reactive power generated by the wind turbine Assigned to the fans within the feeder line; The central controller uses voltage consistency variables and SVG reactive power output. Calculate the total reactive power imbalance of the wind farm output. And determine the total reactive power imbalance. With SVG reactive power output Are the directions consistent? If the directions are inconsistent, then the total reactive power imbalance will be... If the direction is consistent, the total reactive power imbalance is set to 0. The feeder layer controller remains unchanged via the end-node voltage. Predicting the voltage after reactive power change from the wind turbine And determine the voltage after reactive power distribution. Will it exceed the voltage threshold? If the voltage threshold is not exceeded This does not change the reactive power allocation scheme, while setting the penalty coefficient. equal , The coefficient for eliminating the penalty term, and satisfying the following condition. <1, if the voltage threshold is exceeded Then for The function performs linear interpolation to redetermine the total reactive power generated by the wind turbine. And the reactive power allocation scheme, let the penalty coefficient It equals 1; The central controller is based on the total reactive power imbalance. Update network loss consistency variables The reactive power deviation elimination term in the feeder layer controller is based on a threshold. With end node voltage The difference between them updates the voltage consistency variable. In the voltage over-limit penalty term, each controller obtains information from itself and its neighboring controllers, and updates the network loss consistency variable. and voltage consistency variables .

[0007] The present invention also provides a computer device.

[0008] The present invention also provides a computer-readable storage medium.

[0009] Compared with the prior art, the present invention can achieve at least the following beneficial effects: This invention addresses the problem that centralized voltage control based on optimal power flow has a long solution time in large-scale wind farms, which is incompatible with the real-time control requirements under frequent fluctuations in wind power output. It achieves rapid calculation of grid losses and voltage by simplifying the wind farm power flow model, thereby improving the voltage control response speed. Based on this, a hierarchical distributed reactive power control strategy for offshore wind farms is proposed. The upper-level central controller and feeder-level controller control grid losses and voltage through a consensus algorithm and pass the consensus variables to the lower level. The lower level further distributes reactive power to each wind turbine in the feeder according to the turbine output and the voltage at the end of the feeder, which has strong fault robustness. Attached Figure Description

[0010] Figure 1 This is a schematic diagram illustrating the steps of a wind farm loss reduction and reactive power replacement method based on a bivariate consensus algorithm in an embodiment of the present invention.

[0011] Figure 2 A schematic diagram showing the controller installation location and communication network.

[0012] Figure 3 This is a schematic diagram of the reactive power output curve of SVG when the AVC voltage command and grid-side voltage change in an embodiment of the present invention. Detailed Implementation

[0013] The specific implementation of the present invention will be further described below with reference to the accompanying drawings and examples.

[0014] This invention combines the advantages of different existing control methods and proposes a wind farm loss reduction reactive power replacement method based on a bivariate consensus algorithm, based on a typical wind farm topology.

[0015] like Figure 1 As shown in the figure, an embodiment of the present invention provides a method for reducing reactive power in wind farms based on a bivariate consensus algorithm, which includes the following steps: Step 1: Install the controller, which includes a central controller and feeder layer controllers. The central controller is installed on the low-voltage side bus of the main transformer of the wind farm, and feeder layer controllers are installed on each feeder. The controllers form a multi-agent network with bidirectional communication capabilities.

[0016] In this step, the controllers form a multi-agent network with bidirectional communication capabilities, specifically: Each controller can be viewed as an agent. If bidirectional communication lines are established between the central controller and the feeder layer controllers, and between the feeder layer controllers of adjacent feeders, then this multi-agent network can be represented by an undirected graph. This indicates that its vertices Represents a set of intelligent agents. The total number of agents, edges An undirected graph represents the set of communication lines between intelligent agents. adjacency matrix , Adjacency matrix middle OK The elements of the column. The consistent variables used in each controller to achieve the goal of reducing network losses are called network loss consistency variables. The consistency variables used to ensure that the voltage does not exceed the limit are called voltage consistency variables. .

[0017] Step 2: The central controller measures the real-time reactive power output of the SVG online. The feeder layer controller acquires the line resistance and node voltage-reactive power sensitivity within the feeder offline, and measures the active power output of the wind turbine and the voltage at the end node online. This allows for the calculation of the reactive power limit of the wind turbine.

[0018] Feeder layer controller directly measures the first online. The active power output of typhoon generators and end node voltage For permanent magnet direct-drive or semi-direct-drive wind turbines, the absolute values ​​of their inductive and capacitive reactive power limits are the same, both being... , From those who have contributed their efforts and back-to-back converter capacity The decision was made, and therefore further action was taken. calculate :

[0019] Step 3: Let the total reactive power generated by the fan on the feeder be... The feeder layer controller calculates the network loss consistency variable respectively. and end node voltage Regarding the total reactive power generated by the fan on the feeder line The inflection point set of a piecewise linear function.

[0020] This step includes the following sub-steps: 3-1. For the fans in the feeder line, starting from the end, from 1 to... Number them sequentially and define them. ,Will The reactive power limit corresponding to typhoon turbines Store in column vector Inside, =[ , ,…, ] T , Representing the The reactive power limit of a typhoon generator T This represents the transpose of a vector.

[0021] Store the upstream line resistance of each wind turbine in a row vector. Inside, =[ , ,…, ],in Representing the The upstream line resistance value of a typhoon generator is defined. × unit upper triangular matrix Using the voltage-reactive power sensitivity matrix Construct the transformation matrix Its elements It is expressed as follows:

[0022] In the formula Voltage-reactive power sensitivity matrix middle OK Column elements, Voltage-reactive power sensitivity matrix The Middle OK Column elements, Transformation matrix middle OK The elements of the column.

[0023] 3-2. Calculate using the following formula functions and The column vector of common x-coordinates of the positive inflection points of the function :

[0024] Calculated using the following formula The column vector of the y-coordinates of the positive inflection points of the function:

[0025] Through voltage-reactive power sensitivity matrix The Row vector And the actual reactive power output column vector of each wind turbine Calculate the end node voltage The benchmark value :

[0026] End-node voltage caused by wind turbine reactive power adjustment The change is Calculated using the following formula The column vector of the y-coordinates of the positive inflection points of the function:

[0027] 3-3. Combine the coordinate vectors of positive and negative inflection points into an inflection point matrix:

[0028] In the formula ， and They are respectively functions and The inflection point matrix of the function, where each row of the inflection point matrix is ​​the coordinate of an inflection point, and the coordinates of the inflection points are stored as an element in the inflection point set.

[0029] Step 4: The central controller determines voltage consistency variables. Whether it is a negative number, if the voltage consistency variable If the value is negative, then the voltage consistency variable will be... Set to 0 if voltage consistency variable If it is a non-negative number, then the voltage consistency variable Keeping it unchanged, the feeder layer controller determines the network loss consistency variable. Whether it is in the inflection point set If the function's range is exceeded, all fans in the feeder will generate reactive power according to their limit values; if the range is not exceeded, then... The function uses linear interpolation to determine the total reactive power generated by the wind turbine. And based on the principle of tiered allocation, it is allocated to the fans in the feeder.

[0030] This step includes: 4-1. Feeder layer controller determines network loss consistency variables Does it meet the requirements? If the conditions are met, proceed to step 4-2; otherwise, the fan in the feeder will generate reactive power according to the limit value.

[0031] In the formula It is the feeder layer controller that sends the data to the first... The reactive power command of the typhoon generator. Representing the The reactive power limit of a typhoon generator.

[0032] 4-2, To Linear interpolation of the inflection point set of the function determines the consistency variable with network loss. The corresponding total reactive power generated by the wind turbine At this point, it is certain that... Make In the formula The total reactive power of the fans is achieved by calling the reactive power of only the critical fan and all fans between the critical fan and the feeder head. The reactive power instruction is determined according to the following tiered allocation principle. :

[0033] The fans called up, excluding the critical fans, are numbered sequentially as follows: Its corresponding reactive power limit is .

[0034] Step 5: The central controller bases its decisions on voltage consistency variables. and SVG reactive power Calculate the total reactive power imbalance of the wind farm output. And determine the total reactive power imbalance. With SVG reactive power output Are the directions consistent? If the directions are inconsistent, the total reactive power will be unbalanced. If the direction is consistent, the total reactive power imbalance is set to 0. The feeder layer controller remains unchanged via the end-node voltage. Predicting the voltage after reactive power change from the wind turbine And determine the voltage after reactive power distribution. Will it exceed the voltage threshold? If the voltage threshold is not exceeded This does not change the reactive power allocation scheme, while setting the penalty coefficient. equal , The coefficient for eliminating the penalty term, and satisfying the following condition. <1, if the voltage threshold is exceeded Then for The function performs linear interpolation to redetermine the total reactive power generated by the wind turbine. And the reactive power allocation scheme, let the penalty coefficient It equals 1.

[0035] In step 5, the central controller... and Calculate the total reactive power imbalance of the wind farm output. The feeder layer controller passes through Predicting the voltage after reactive power change from the wind turbine and judge Will it exceed the voltage threshold? If it exceeds, then... The function is linearly interpolated to redefine Reactive power allocation schemes, including: 5-1. The central controller is calculated using the following formula. :

[0036] In the formula To control the total reactive power imbalance Adjust the speed coefficient.

[0037] 5-2. The feeder layer controller operates according to the reactive power command. The column vector formed calculate The change in the amount of reactive power, and predict the voltage after reactive power distribution. ,like Then proceed to step 5-3:

[0038] Voltage threshold The voltage is less than the maximum allowable voltage for the wind farm, and its function is to trigger voltage control in advance to ensure... Strictly adhere to the limits. Voltage-reactive power sensitivity matrix The Row vectors.

[0039] 5-3, To The inflection point set of the function is redefined by linear interpolation and the voltage threshold is determined. corresponding The reactive power distribution method between the wind turbines is the same as in step 4-2.

[0040] Step 6: The central controller calculates the total reactive power imbalance. Update network loss consistency variables The reactive power deviation elimination term in the feeder layer controller is based on a threshold. With the voltage after reactive power distribution The difference between them updates the voltage consistency variable. In the voltage over-limit penalty term, each controller obtains information from itself and its neighboring controllers, and updates the network loss consistency variable based on the consensus algorithm. and voltage consistency variables .

[0041] This step includes the following sub-steps: 6-1. The central controller updates the network loss consistency variable. The formula is as follows:

[0042] In the formula A collection of controllers that communicate bidirectionally with the central controller. To control the timing, and They are respectively Time of the first The controller, the first The network loss consistency variable values ​​for each controller. The last item is the reactive power deviation elimination item. The coefficients are used to adjust the convergence performance.

[0043] Feeder layer controller updates network loss consistency variable The formula is as follows:

[0044] 6-2. Feeder layer controller updates voltage consistency variables The formula is as follows:

[0045] The last term in the formula is the voltage over-limit penalty term. The penalty coefficient is... and They are respectively Time of the first The controller, the first Voltage consistency variable values ​​for each controller For the first i Predicted value of the voltage of the fan at the end of the feeder line.

[0046] Central controller updates voltage consistency variables The formula is as follows:

[0047] In one embodiment, a specific example is provided: There are 14 feeders in the wind farm, and each feeder is equipped with 5 permanent magnet direct-drive wind turbines with a capacity of 5.5MW. The wind turbines are stepped up by the transformer at the turbine end and connected to the 35kV submarine cable collection network. Then, the power is transmitted through the step-up substation to the onshore switchyard via a 220kV submarine cable. The switchyard is equipped with a voltage-controlled SVG.

[0048] The initial AVC voltage command is set to 1.06 pu, and the grid-side voltage is 1.00 pu. At t=0.2s, the voltage command is adjusted to 1.05 pu, and at t=0.7s, the voltage command remains unchanged. This simulates a voltage fluctuation on the grid side, with the voltage rising to 1.01 pu. Using the method provided in this embodiment to control the wind turbine's reactive power, the SVG output is as follows... Figure 3As shown in the figure, the method provided by the embodiment of the present invention always keeps the output of the SVG within a small range, avoiding its continuous increase due to command changes or voltage disturbances, and can meet the reactive power replacement requirements.

[0049] Based on historical data of active power output and reactive power output of wind turbines and SVG of a wind farm over a day, reactive power was allocated using both the method provided in this embodiment and the method of proportional allocation based on the reactive power limit of the wind turbines, and the total network loss was calculated. The simulation results are shown in Table 1. It can be seen that the network loss of the method provided in this embodiment is reduced by 2.12% compared with the proportional allocation method, which can achieve the function of loss reduction.

[0050] Table 1. Power Loss under Different Reactive Power Distribution Methods

[0051] In summary, the effectiveness of the reactive power replacement method for wind farm loss reduction based on the bivariate consensus algorithm provided in this invention has been verified through simulation analysis of a real wind farm.

[0052] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the methods described in the foregoing embodiments.

[0053] In one embodiment, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods described in the foregoing embodiments.

[0054] The above embodiments are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above embodiments. Any modifications, alterations, substitutions, combinations, or simplifications made without departing from the spirit and principle of the present invention shall be considered equivalent substitutions and shall be included within the protection scope of the present invention.

Claims

1. A method for reducing reactive power loss in wind farms based on a bivariate consensus algorithm, characterized in that, A central controller is installed on the low-voltage side busbar of the main transformer in the wind farm, and a feeder-level controller is installed on each feeder. The controllers form a multi-agent network with bidirectional communication capability. The method includes the following steps: The central controller measures the reactive power output of the SVG online, while the feeder layer controller acquires the line resistance and node voltage-reactive power sensitivity within the feeder offline, and measures the active power output of the wind turbine and the voltage at the end node online. This allows for the calculation of the wind turbine's reactive power limit; The feeder layer controller calculates the network loss consistency variable respectively. and end node voltage Regarding the total reactive power generated by the fan on the feeder line The set of inflection points of a piecewise linear function; The central controller determines whether the voltage consistency variable is negative. If it is negative, it sets it to 0; if it is non-negative, the voltage consistency variable remains unchanged. The feeder layer controller determines the network loss consistency variable. Whether it is in the inflection point set If the function's range is exceeded, all fans in the feeder will generate reactive power according to their limit values; if the range is not exceeded, then based on... The function determines the total reactive power generated by the wind turbine. and the total reactive power generated by the wind turbine Assigned to the fans within the feeder line; The central controller uses voltage consistency variables and SVG reactive power output. Calculate the total reactive power imbalance of the wind farm output. And determine the total reactive power imbalance. With SVG reactive power output Are the directions consistent? If the directions are inconsistent, then the total reactive power imbalance will be... If the direction is consistent, the total reactive power imbalance is set to 0. The feeder layer controller remains unchanged via the end-node voltage. Predicting the voltage after reactive power change from the wind turbine And determine the voltage after reactive power distribution. Will it exceed the voltage threshold? If the voltage threshold is not exceeded This does not change the reactive power allocation scheme, while setting the penalty coefficient. equal , The coefficient for eliminating the penalty term, and satisfying the following condition. <1, if the voltage threshold is exceeded Then for The function performs linear interpolation to redetermine the total reactive power generated by the wind turbine. And the reactive power allocation scheme, let the penalty coefficient It equals 1; The central controller is based on the total reactive power imbalance. Update network loss consistency variables The reactive power deviation elimination term in the feeder layer controller is based on a threshold. With end node voltage The difference between them updates the voltage consistency variable. In the voltage over-limit penalty term, each controller obtains information from itself and its neighboring controllers, and updates the network loss consistency variable. and voltage consistency variables .

2. The wind farm loss reduction reactive power replacement method based on the bivariate consensus algorithm as described in claim 1, Its features are, The formula for calculating the reactive power limit of a wind turbine is: In the formula, For the reactive limit, For the first The contribution of typhoon generators This refers to the capacity of the back-to-back converter.

3. The wind farm loss reduction and reactive power replacement method based on a bivariate consensus algorithm as described in claim 1, Its features are, The feeder layer controller calculates the network loss consistency variable respectively. and end node voltage Regarding the total reactive power generated by the fan on the feeder line The inflection point set of a piecewise linear function includes: Number the fans in the feeder line sequentially starting from the end, store the reactive power limit of each fan in a column vector, and store the upstream line resistance of each fan in a row vector. definition × The unit upper triangular matrix is ​​used to construct the transformation matrix using the voltage-reactive power sensitivity matrix; Calculated based on triangular matrices and column vectors functions and The column vector of common x-coordinates of the positive inflection points of the function ; Calculated based on column vectors, row vectors, and triangular matrices. The column vector of y-coordinates of the positive inflection points of the function; The reference value of the voltage at the end node is calculated based on the row vector of the voltage-reactive power sensitivity matrix and the column vector of the actual reactive power output of each wind turbine. Based on the transformation matrix and column vectors, we obtain The column vector of y-coordinates of the positive inflection points of the function. This refers to the change in voltage at the end node caused by the reactive power adjustment of the wind turbine; Combine the coordinate vectors of positive and negative inflection points into an inflection point matrix. Each row of the inflection point matrix represents an inflection point coordinate. Store the inflection point coordinates as an element in the inflection point set.

4. The wind farm loss reduction and reactive power replacement method based on the bivariate consensus algorithm as described in claim 1, Its features are, The feeder layer controller determines the network loss consistency variable. Whether it is in the inflection point set If the function's range is exceeded, all fans in the feeder will generate reactive power according to their limit values; if the range is not exceeded, then... The function uses linear interpolation to determine the total reactive power generated by the wind turbine. And based on the principle of tiered allocation, it is allocated to the fans in the feeder, including: Feeder layer controller determines network loss consistency variables Does it meet the requirements? , express If the column vector of the ordinate of the positive inflection point of the function does not satisfy the condition, the wind turbine in the feeder will generate reactive power according to the limit value; if it does satisfy the condition, the following steps will be performed: right Linear interpolation of the inflection point set of the function determines the consistency variable with network loss. The corresponding fan emits no total achievement At this point, it is inevitable that... Make The reactive power instruction is determined according to the following tiered allocation principle. : This refers to the number of the critical blower being called. This refers to the numbers of all fans other than the critical fan that was called in. This indicates the number of fans in the feeder line. For wind turbine The corresponding reactive power limit.

5. The wind farm loss reduction reactive power replacement method based on a bivariate consensus algorithm according to claim 1, characterized in that, The pair The function performs linear interpolation to redetermine the total reactive power generated by the wind turbine. Reactive power allocation schemes, including: based on Redefinition of the inflection point set of the function and voltage threshold The corresponding total reactive power generated by the wind turbine At this point, it is inevitable that... Make The reactive power instruction is determined according to the following tiered allocation principle. : This refers to the number of the critical blower being called. This refers to the numbers of all fans other than the critical fan that was called in. This indicates the number of fans in the feeder line. For wind turbine The corresponding reactive power limit.

6. The wind farm loss reduction reactive power replacement method based on a bivariate consensus algorithm as described in claim 5, characterized in that, The total reactive power generated by the wind turbine is redetermined using linear interpolation.

7. A wind farm loss reduction reactive power replacement method based on a bivariate consensus algorithm according to any one of claims 1-6, characterized in that, Network loss consistency variables The update method is as follows: Central controller updates network loss consistency variables The formula is as follows: In the formula, A collection of controllers that communicate bidirectionally with the central controller. To control the timing, and They are respectively Time of the first The controller, the first The network loss consistency variable values ​​for each controller, with the last item being the reactive power deviation elimination item. To adjust the coefficients for convergence performance, An undirected graph adjacency matrix middle OK Column elements, undirected graph Used to represent the multi-agent network; Feeder layer controller updates network loss consistency variable The formula is as follows: 。 8. A method for reducing reactive power in wind farms based on a bivariate consensus algorithm according to any one of claims 1-6, characterized in that, Voltage consistency variables The update method is as follows: Feeder layer controller updates voltage consistency variables The formula is as follows: The last term in the formula is the voltage over-limit penalty term. The penalty coefficient is... and They are respectively Time of the first The controller, the first Voltage consistency variable values ​​for each controller For the first Predicted voltage of the fan at the end of the feeder line; Central controller updates voltage consistency variables The formula is as follows: 。 9. A computer device 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 method according to any one of claims 1-8.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the method described in any one of claims 1-8.

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