Algorithm coupling optimization-based reactive power joint adjustment performance evaluation method and platform for power grid

Abstract

The invention relates to a power grid reactive joint debugging performance evaluation method and platform based on algorithm coupling optimization, and belongs to the technical field of power grid reactive optimization. Comprising the steps that a dispatcher operates a dispatch host to issue an analysis command to a calculation amount switchboard; the quantity calculation switchboard identifies and analyzes the command, and calls a corresponding regional power grid model from a model library; calling a cuckoo algorithm and using the objective function to analyze the reactive power optimization performance of the power grid; the quantity calculation switchboard feeds back a cuckoo optimization matrix [Qc0, Qc0,..., Qcl] of the power grid region related to the analysis command; calculating an evaluation index W according to the output cuckoo optimization matrix; analyzing and evaluating indexes, and performing reactive power optimization configuration according to the cuckoo optimization matrix [Qc0, Qc0,..., Qcl] output in the step (4) for the power grid areas with unqualified indexes; the reactive power distribution of the regional power grid can be evaluated, the reactive power regulation capability and the reactive power distribution of the power grid are screened and checked, and the advantages and disadvantages of the reactive power distribution and the regulation capability of the power grid can be quickly evaluated.

Description

TECHNICAL FIELD

[0001] The application relates to a power grid reactive power joint regulation performance evaluation method and platform based on algorithm coupling optimization, and belongs to the technical field of power grid reactive power optimization. BACKGROUND

[0002] With the vigorous development of new energy technology, the reactive power distribution mode of the power grid is changing, and the traditional reactive power regulation mode cannot meet the reactive power regulation demand of the multi-source power grid. Unbalanced reactive power distribution will cause unbalanced voltage distribution of the power grid, lead to voltage fluctuation and flicker, cause damage to users and power grid equipment, and even cause personal safety accidents. Unbalanced reactive power will also increase the line loss of the power grid, cause energy waste, shorten the service life of equipment, cause the power grid harmonic to increase, and affect the static stability of the power grid.

[0003] Therefore, an evaluation method for the reactive power regulation capacity of a partition joint is urgently needed, which can screen and evaluate the reactive power joint regulation capacity of a regional power grid, give optimization suggestions, and realize hierarchical regulation of the reactive power of the power grid and local balance. SUMMARY

[0004] According to the problems described in the background, the application aims to solve the problems of providing an algorithm coupling optimization-based power grid reactive power joint regulation performance evaluation method and platform, which can realize reactive power compensation and consumption of multiple important nodes of a large power grid, and the compensation and regulation optimization strategy is given by a calculation method based on the coupling optimization of the cuckoo algorithm and model simulation to solve the problems mentioned in the background.

[0005] To achieve the above purpose, the application provides the following technical scheme: a power grid reactive power joint regulation platform based on algorithm coupling optimization is provided, which comprises a model library, a regulation optical cable, an algorithm total machine, an industrial computer, an inner network holder, a communication antenna main station, a dispatching host, a dispatching station and a communication antenna substation.

[0006] The dispatching station and the dispatching host are connected through the regulation optical cable signal;

[0007] The communication antenna main station is electrically connected with the dispatching host and wirelessly connected with the inner network holder;

[0008] The communication antenna substation is electrically connected with the algorithm total machine and wirelessly connected with the inner network holder;

[0009] The algorithm total machine is signal connected with the industrial computer and electrically connected with the communication antenna substation;

[0010] The model library is carried on the inner network holder and can be called by the communication antenna main station and the communication antenna substation.

[0011] The application also provides a power grid reactive power joint regulation performance evaluation method based on algorithm coupling optimization, which comprises the following steps:

[0012] S1, the dispatcher operates the dispatching host to issue an analysis command to the calculation host;

[0013] S2, the calculation host identifies the analysis command and retrieves the corresponding regional power grid model from the model library;

[0014] S3, the cuckoo algorithm uses the objective function to analyze the performance of power grid reactive power optimization;

[0015] S4, the calculation host feeds back the cuckoo optimization matrix [Q c0 ,Q c1 ...,Q cl ] related to the power grid region involved in the analysis command;

[0016] S5, calculate the evaluation index W according to the output cuckoo optimization matrix;

[0017] S6, analyze the evaluation index, and for the power grid region that does not meet the index, perform reactive power optimization configuration according to the cuckoo optimization matrix [Q c0 ,Q c1 ...,Q cl ] output in step S4.

[0018] Preferably, the cuckoo algorithm comprises the following steps:

[0019] S3.1, configure the index weight α, β, λ and the initial value [Q c0 ,Q c1 ...,Q cl ], extract the model line parameters, and supplement the related parameters in the objective function;

[0020] S3.2, use algorithm iteration optimization to obtain the next generation target matrix [Q c0 ,Q c1 ...,Q cl ], substitute the value of the objective function f(Q c0 ,Q c1 ...,Q cl ) and accumulate the iteration number;

[0021] S3.3, whether the iteration number reaches 100,000 times, if yes, jump to step S3.5, if not, execute step S3.4;

[0022] S3.4, whether the value of the objective function f(Q c0 ,Q c1 ...,Q cl ) in this iteration is less than 0.5, if yes, execute step S3.5, if not, jump to step S3.2;

[0023] S3.5, output the optimized cuckoo optimization matrix [Q c0Q c1 ...,Q cl ], and the objective function f(Q c0 Q c1 ...,Q cl )value.

[0024] Preferably, the objective function of the cuckoo algorithm is as follows:

[0025]

[0026] In the formula, f(Q) c0 Q c1 ...,Q cl Let Q be the objective function of the algorithm. c0 P represents the reactive power capacity on the power grid bus side. c0 Where is the active power capacity on the grid bus side, Q is the number of power sources in the grid, L is the number of active grid branches at the calculation node, K is the number of user nodes connected to the calculated grid, U0 is the grid source voltage, and I is the active power capacity on the grid bus side. iq Z represents the current flowing from the q-th power source to the computation node. iq Z represents the line impedance from the q-th power source to the computation node. i0 Let α be the line impedance from the network source to the computing node, β be the index weights at the node, j be the imaginary part operator, and μ be the line impedance from the network source to the computing node. k This represents the level weight of the k-th user node.

[0027] Preferably, the cuckoo optimization matrix [Q] will be calculated. c0 Q c1 ...,Q cl Substitute the matrix values ​​into equation (2) for calculation:

[0028]

[0029] In the formula, W is the evaluation index, and Q is the evaluation index. sl The actual reactive power output of the l-th branch power supply.

[0030] Preferably, the evaluation index W, if W If (0, 0.3), then the reactive power regulation capability of the power grid is judged to be excellent and the distribution is reasonable. If W If W = [0.3, 0.6), then the reactive power regulation capability of the power grid is good but the distribution is poor. If W = [0.6, 0.9], then the reactive power regulation capacity of the power grid is deemed unqualified and the distribution is unreasonable. If (0.9, 1), then the power grid is determined to have no reactive power regulation capability.

[0031] The beneficial effects of this invention are:

[0032] 1. To evaluate the reactive power distribution of the regional power grid, screen and test the reactive power regulation capability and reactive power distribution of the power grid, and quickly evaluate the quality of the reactive power distribution and regulation capability of the power grid.

[0033] 2. For power grids with insufficient reactive power optimization capabilities, suggestions are provided regarding the installation location, model, and capacity of reactive power regulation devices to assist in reactive power optimization work.

[0034] 3. The platform is equipped with a simulation optimization model, which can perform simulation evaluation and verification of reactive power equipment in the power grid that has not yet been put into operation, in order to determine its effectiveness after it is put into operation. Attached Figure Description

[0035] Figure 1 This is a connection diagram of the platform of the present invention;

[0036] Figure 2 This is a schematic diagram of the method flow of the present invention;

[0037] In the diagram: 1 is the model library; 2 is the control optical cable; 3 is the quantity calculation main unit; 4 is the industrial control computer; 5 is the intranet PTZ; 6 is the communication antenna main station; 7 is the dispatch host; 8 is the dispatch console. Detailed Implementation

[0038] The embodiments of the present invention will be further described below with reference to the accompanying drawings:

[0039] Example 1

[0040] like Figure 1 As shown, the present invention provides a power grid reactive power joint commissioning platform based on algorithm coupling optimization, including a model library 1, a control optical cable 2, a quantity calculation main unit 3, an industrial control computer 4, an intranet PTZ 5, a communication antenna master station 6, a dispatch host 7, a dispatch console 8, and a communication antenna substation 9;

[0041] The dispatch console 8 and the dispatch host 7 are connected via the control optical cable 2;

[0042] The communication antenna master station 6 is electrically connected to the dispatch host 7 and wirelessly connected to the intranet PTZ 5.

[0043] The communication antenna substation 9 is electrically connected to the main computing unit 3 and wirelessly connected to the intranet PTZ 5.

[0044] The main calculation unit 3 is signal-connected to the industrial control computer 4 and electrically connected to the communication antenna substation 9;

[0045] The model library 1 is mounted on the intranet PTZ 5 and can be accessed by the communication antenna master station 6 and the communication antenna substation 9.

[0046] The grid reactive power joint debugging platform based on algorithm coupling optimization is essentially a large grid simulation model, which can simulate the power flow changes of the grid after setting different reactive power compensation devices at each node, so as to judge the operation condition of the grid under the configuration according to the results of the power flow changes.

[0047] The simulation model is a huge model library 1 covering the digital twin of each line of the grid and being updated in real time by the ledger. The simulation process needs large computing power and storage medium support, so the configuration mode of separating the computing device, the dispatching device and the storage device is adopted, the model is called by the dispatching optical cable 2, the calculation is performed on the computing host 3, and the order, configuration and maintenance are given by the dispatching host 7.

[0048] Meanwhile, the platform is equipped with an ATP circuit model, which can simulate, evaluate and verify the grid reactive power equipment that has not been put into operation, so as to judge the effect after the equipment is put into operation.

[0049] Embodiment 2

[0050] As shown in Figure 2 , the application also provides a grid reactive power joint debugging performance evaluation method based on algorithm coupling optimization, comprising the following steps:

[0051] S1, the dispatching personnel operates the dispatching host 7 to give an analysis command to the computing host 3;

[0052] S2, the computing host 3 identifies the analysis command and calls the corresponding regional grid model from the model library 1;

[0053] S3, the cuckoo algorithm uses the objective function to analyze the performance of the grid reactive power optimization;

[0054] S4, the computing host 3 feeds back the cuckoo optimization matrix [Q c0 ,Q c1 ..., Q cl ] related to the grid region involved in the analysis command;

[0055] S5, the evaluation index W is calculated according to the output cuckoo optimization matrix;

[0056] S6, the evaluation index is analyzed, and for the grid region with unqualified index, the cuckoo optimization matrix [Q c0 ,Q c1 ..., Q cl ] output in step S4 is used for reactive power optimization configuration.

[0057] The simulation model is called and the optimization algorithm is configured. The objective function of the algorithm weights the power supply reliability, line loss, equipment operation life and other factors. The objective function is iterated to the minimum through the algorithm, so that the reactive power configuration mode with the highest power supply reliability, equipment operation life and minimum line loss is obtained. The reactive power distribution under such ideal configuration is the best for power grid operation.

[0058] wherein, [Q c0 ,Q c1 ...,Q cl ] is a bit Q matrix, which is the reactive power value of each node and is different due to the different number of nodes of the called line, represents the reactive power of each node under the most ideal condition, and the optimal reactive power distribution for power grid operation can be obtained through optimization algorithm optimization. The corresponding reactive power value Q matrix of different nodes can be configured to compensate the device and the user, so as to realize the reactive power optimization of the power grid. The number of the Q matrix is the assembly position of the reactive power regulation device, and the size and model capacity of the Q matrix are related.

[0059] The cuckoo algorithm comprises the following steps:

[0060] S3.1, configuring index weights α, β and λ and initial value [Q c0 ,Q c1 ...,Q cl ], extracting model line parameters, and supplementing related parameters in the objective function;

[0061] S3.2, using algorithm iteration optimization to obtain the next generation target matrix [Q c0 ,Q c1 ...,Q cl ], substituting the value of the objective function f(Q c0 ,Q c1 ...,Q cl ) into the calculation, and accumulating the iteration number;

[0062] S3.3, whether the iteration number reaches 100,000 times, if yes, jumping to step S3.5, if not, executing step S3.4;

[0063] S3.4, whether the value of the objective function f(Q c0 ,Q c1 ...,Q cl ) in this iteration is less than 0.5, if yes, executing step S3.5, if not, jumping to step S3.2;

[0064] S3.5, outputting the optimized cuckoo optimization matrix [Q c0 ,Q c1 ...,Q cl ] and the objective function f(Q c0 ,Q c1 ...,Qcl ) value.

[0065] Wherein, the cuckoo algorithm is an optimized differential evolution algorithm, which is good at solving multi-objective optimization problem, and the node of the power grid is a very large first-order vector, and the essence of the optimization algorithm is to find the optimal Q vector configuration for the operation of the power grid, and the population optimization method of the cuckoo algorithm can improve the calculation efficiency.

[0066] The objective function of the cuckoo algorithm is as follows:

[0067]

[0068] In the formula, f(Q c0 ,Q c1 ..., Q cl ) is the algorithm objective function, Q c0 is the reactive power capacity of the bus side of the power grid, P c0 is the active power capacity of the bus side of the power grid, Q is the number of power sources in the power grid, L is the number of active power grid branches at the calculation node, K is the number of user nodes of the calculation power grid, U0 is the grid source voltage, I iq is the current flowing from the qth power source to the calculation node, Z iq is the line impedance from the qth power source to the calculation node, Z i0 is the line impedance from the grid source to the calculation node, α, β, λ are the index weights at the node, j is the imaginary operator, μ k is the kth user node level weight.

[0069] The cuckoo optimization matrix [Q c0 , Q c1 ..., Q cl ] is calculated, and the matrix value is brought into formula (2) for calculation:

[0070]

[0071] In the formula, W is the evaluation index, Q sl is the actual output reactive power of the lth branch power source.

[0072] The evaluation index W, if W (0, 0.3), it is determined that the power grid reactive power regulation ability is excellent and the distribution is reasonable, if W [0.3, 0.6), it is determined that the power grid reactive power regulation ability is good and the distribution is poor, if W [0.6, 0.9], it is determined that the power grid reactive power regulation ability is not up to standard and the distribution is unreasonable, and if W (0.9, 1), it is determined that the power grid has no reactive power regulation ability.

[0073] W actual is the average variance of the optimization result and the actual value. Since the reactive power distribution in the power grid is not only determined by the reactive power compensation device, but also by the user's power consumption behavior, temperature and humidity, new energy photovoltaic and wind power output, and other factors, and the above factors change at any time, there is no absolutely optimal reactive power value, only the most effective reactive power value, which represents the difference between the reactive power compensation capacity of each node in the power grid and the ideal reactive power compensation capacity, since the deviation of the power grid reactive power optimization capacity from the ideal capacity is judged.

Claims

1. A power grid reactive power commissioning platform based on algorithm coupling optimization, characterized in that, It includes a model library (1), control optical cable (2), quantity calculation main unit (3), industrial control computer (4), intranet PTZ (5), communication antenna main station (6), dispatch host (7), dispatch console (8) and communication antenna substation (9); The dispatch console (8) and the dispatch host (7) are connected by a control optical cable (2); The communication antenna master station (6) is electrically connected to the dispatch host (7) and wirelessly connected to the intranet PTZ (5). The communication antenna substation (9) is electrically connected to the main computer (3) and wirelessly connected to the intranet PTZ (5). The main calculation unit (3) is connected to the industrial control computer (4) by signal and to the communication antenna substation (9) by electrical connection; The model library (1) is mounted on the intranet PTZ (5) and can be accessed by the communication antenna master station (6) and the communication antenna substation (9).

2. A method for evaluating the reactive power coordination performance of a power grid based on algorithmic coupling optimization, characterized in that, Includes the following steps: S1. The dispatcher operates the dispatch host (7) to issue an analysis command to the main calculation unit (3); S2, the calculation unit (3) identifies and analyzes the command, and retrieves the corresponding regional power grid model from the model library (1); S3. Use the Cuckoo algorithm to analyze the reactive power optimization performance of the power grid using the objective function; S4, Quantity Calculation Mainframe (3) Feedback on the Cuckoo Optimization Matrix [Q] for the power grid area involved in the analysis command. c0 Q c1 ...,Q cl ]; S5. Calculate the evaluation index W based on the output cuckoo optimization matrix; S6. Analyze and evaluate the indicators. For power grid areas where the indicators are not up to standard, optimize the cuckoo-shaped matrix [Q] output in step S4. c0 Q c1 ...,Q cl Perform reactive power optimization configuration.

3. The power grid reactive power regulation capability evaluation method based on algorithm coupling optimization according to claim 2, characterized in that, The cuckoo algorithm includes the following steps: S3.1, Configure indicator weights α, β, λ and initial values ​​[Q] c0 Q c1 ...,Q cl Extract the model's line parameters and supplement the relevant parameters within the objective function; S3.

2. Use the algorithm for iterative optimization to obtain the next generation target matrix [Q]. c0 Q c1 ...,Q cl Substitute into the objective function f(Q) c0 Q c1 ...,Q cl The value represents the cumulative number of iterations. S3.

3. Has the number of iterations reached 100,000? If so, proceed to step S3.5; otherwise, proceed to step S3.

4. S3.4, The objective function f(Q) in this iteration c0 Q c1 ...,Q cl If the value is less than 0.5, proceed to step S3.5; otherwise, proceed to step S3.

2. S3.5, Output the optimized cuckoo matrix [Q] c0 Q c1 ...,Q cl ], and the objective function f(Q c0 Q c1 ...,Q cl )value.

4. The power grid reactive power regulation capability evaluation method based on algorithm coupling optimization according to claim 3, characterized in that, The objective function of the Cuckoo algorithm is as follows: ； In the formula, f(Q) c0 Q c1 ...,Q cl Let Q be the objective function of the algorithm. c0 P represents the reactive power capacity on the power grid bus side. c0 Where is the active power capacity on the grid bus side, Q is the number of power sources in the grid, L is the number of active grid branches at the calculation node, K is the number of user nodes connected to the calculated grid, U0 is the grid source voltage, and I is the active power capacity on the grid bus side. iq Z represents the current flowing from the q-th power source to the computation node. iq Z represents the line impedance from the q-th power source to the computation node. i0 Let α be the line impedance from the network source to the computing node, β be the index weights at the node, j be the imaginary part operator, and μ be the line impedance from the network source to the computing node. k This represents the level weight of the k-th user node.

5. The power grid reactive power regulation capability evaluation method based on algorithm coupling optimization according to claim 4, characterized in that, The cuckoo optimization matrix [Q] will be calculated. c0 Q c1 ...,Q cl Substitute the matrix values ​​into equation (2) for calculation: In the formula, W is the evaluation index, and Q is the evaluation index. sl The actual reactive power output of the l-th branch power supply.

6. The power grid reactive power regulation capability evaluation method based on algorithm coupling optimization according to claim 5, characterized in that, The evaluation index W, if W If (0, 0.3), then the reactive power regulation capability of the power grid is judged to be excellent and the distribution is reasonable. If W If W = [0.3, 0.6), then the reactive power regulation capability of the power grid is good but the distribution is poor. If W = [0.6, 0.9], then the reactive power regulation capacity of the power grid is deemed unqualified and the distribution is unreasonable. If (0.9, 1), then the power grid is determined to have no reactive power regulation capability.

Images