CN-122021098-A - Distributed power flow controller group control strategy verification and coordination optimization method, system, equipment and medium for power distribution network
Abstract
The invention discloses a method, a system, equipment and a medium for verifying and coordinating and optimizing a group control strategy of a distributed power flow controller of a power distribution network, belonging to the technical field of power system automation and control, comprising the steps of digitally modeling the running state of the power distribution network, establishing a communication network to simulate the characteristics of an actual communication network, connecting physical equipment of the distributed power flow controller with a digital simulation system, forming a semi-physical simulation closed loop, optimizing a global objective function through a group control coordination algorithm of a plurality of power flow controllers, performing multi-dimensional evaluation on the performance of the group control system based on the operation data of the semi-physical simulation closed loop, performing coordination parameter optimization by the group control system based on sensitivity analysis, updating the optimized optimal parameters into the group control coordination algorithm, and performing simulation verification again. The method and the system realize policy quick verification, realize conflict-free coordination control, avoid single-point fault risks and communication burdens of a centralized method, realize multi-scene robustness verification and guarantee practical application reliability.
Inventors
- LI QINGSHENG
- YANG JIERUI
- WANG ZHUOYUE
- WANG LINBO
- YAN WEN
- Luo Zhongke
- Fan Junqiu
- LONG JIAHUAN
- LI ZHEN
- CHEN JULONG
- ZHANG YU
- GAO HUA
- ZHANG YAN
- LIU JINSEN
- ZHANG ZHAOFENG
Assignees
- 贵州电网有限责任公司
Dates
- Publication Date
- 20260512
- Application Date
- 20251208
Claims (10)
- 1. The power distribution network distributed power flow controller group control strategy verification and coordination optimization method is characterized by comprising the following steps of, Performing digital modeling on the running state of the power distribution network, and calculating the voltage of each node and the line power flow of the power distribution network in real time as state variables of the optimization problem after modeling; Establishing a communication network simulation to simulate the characteristics of delay, packet loss and bandwidth limitation of an actual communication network, and calculating an information packet received by receiving equipment; Connecting the distributed power flow controller physical equipment with a digital simulation system to form a semi-physical simulation closed loop, converting analog signals and digital signals, updating a node power balance equation, and recalculating the state of the power distribution network; Optimizing a global objective function through a group control coordination algorithm of a plurality of tide controllers, decomposing a centralized optimization problem, converting the obtained control quantity into a power reference value of the controllers, and executing a control action; Performing multi-dimensional evaluation on the performance of the group control system based on the semi-physical simulation closed-loop running data, and defining the comprehensive performance score of the group control system; And the group control system performs coordinated parameter optimization based on sensitivity analysis, updates the optimal parameters obtained by optimization into a group control coordination algorithm, and performs simulation verification again.
- 2. The method for verifying and coordinating and optimizing the group control strategy of the distributed power flow controller of the power distribution network as set forth in claim 1, wherein the digitally modeling the running state of the power distribution network comprises the steps of establishing a digital simulation model of the power distribution network to perform electromagnetic transient simulation and simulate the dynamic characteristics of the power distribution network; the distributed power supply adopts a controlled current source model to establish a node power balance equation of the power distribution network; The digital simulation model operates in real time, and node voltage and line power flow of the power distribution network are calculated in real time and input into a group control coordination algorithm to serve as state variables of the optimization problem.
- 3. The method for verifying and coordinating and optimizing the group control strategy of the distributed power flow controller of the power distribution network according to claim 2, wherein the step of establishing the communication network simulation comprises the steps of establishing the communication network simulation to simulate the delay, packet loss and bandwidth limiting characteristics of an actual communication network, adopting network simulation software to construct a network topology consistent with the actual power distribution communication network, and adopting random variable simulation to simulate the communication delay; And defining the format of the information packet sent between the devices, and determining the information received by the receiving device after the information packet is transmitted through a communication network.
- 4. The method for verifying and coordinating and optimizing the group control strategy of the distributed power flow controller of the power distribution network according to claim 3, wherein the semi-physical simulation closed loop comprises the steps of connecting physical equipment of the distributed power flow controller with a digital simulation system through a hardware interface module to form the semi-physical simulation closed loop; The node voltage calculated by the digital simulation system is output into an analog voltage signal through digital-to-analog conversion, the analog voltage signal is connected to a measuring port of the power flow controller, and the current analog signal is read as the power grid voltage; the distributed power flow controller calculates a control instruction according to the measurement signal to output an analog control signal, converts the analog control signal back to a digital signal through analog-to-digital conversion, feeds the digital signal back to the digital simulation system, and is used as a controlled current source to be injected into a corresponding node of a power distribution network model, updates a node power balance equation, and recalculates the power distribution network state to carry out closed loop iteration.
- 5. The method for verifying and coordinating and optimizing the group control strategy of the distributed power flow controllers of the power distribution network as set forth in claim 4, wherein the optimizing the global objective function comprises optimizing the global objective function by coordinating control of a plurality of power flow controllers on the premise of meeting equipment capacity constraint and power grid operation constraint, and modeling the group control problem as an optimization problem: where J is a global optimization objective function, And For active and reactive control vectors for all controllers, For the number of nodes, k and l are the index of the variables, In order to make the number of lines be the same, And As the weight coefficient of the light-emitting diode, As the actual voltage at node k, As a reference voltage to be applied to the circuit, For the actual power flow of the line l, Is an ideal tide distribution; Constraint conditions of the optimization problem comprise power balance constraint, controller capacity constraint and voltage operation constraint, wherein the centralized optimization problem is decomposed into distributed sub-problems of each controller by adopting an alternate direction multiplier method, and global variables are introduced Lagrangian multiplier An augmented lagrangian function is constructed: In the formula, In order to control the vector of variables, In order to penalize the parameters, The method is characterized in that the method is a transposition of Lagrangian multipliers, and each controller independently solves a local sub-problem in the kth iteration of the alternating direction multiplier method: In the formula, As a local lagrangian function of the controller i, Is the control variable vector of the controller i at the k+1th iteration, For the control variable vector of the controller i, Updating the global variable for the Lagrangian multiplier of controller i at the k+1th iteration : In the formula, Updating Lagrangian multipliers for controller number : The controller i exchanges with the adjacent controller through the established communication network And Information, iterative calculation until meeting convergence condition In which, in the process, The control quantity obtained after convergence is converted into a power reference value of the controller And The input hardware controller performs control actions.
- 6. The method for verifying and coordinating and optimizing the group control strategy of the distributed power flow controller of the power distribution network as set forth in claim 5, wherein the multi-dimensional evaluation of the group control system performance comprises the step of performing multi-dimensional evaluation of the group control system performance from control accuracy, response speed, stability and robustness based on the operation data of the semi-physical simulation platform; the control precision evaluation adopts voltage deviation and tide deviation indexes, the response speed evaluation adopts control response time indexes, and the stability evaluation adopts control oscillation indexes; the robustness assessment passes the fault scene test, and the performance degradation degree is calculated by simulating the fault scene: Synthesizing all indexes, and defining a group control system comprehensive performance score: In the formula, In order to score the overall performance of the device, In order to assign the different index weight coefficients, In order to refer to the response time of the device, For the accuracy of the voltage control, For the accuracy of the flow control, In order to control the standard deviation of the oscillation, Is a robustness index.
- 7. The method for verifying and coordinating and optimizing the group control strategy of the distributed power flow controller of the power distribution network as set forth in claim 6, wherein the coordinating parameter optimization comprises a group control system including a plurality of coordinating parameters, a communication period, a penalty parameter, a convergence threshold and a weight coefficient; Parameter sensitivity analysis is performed, and the sensitivity is calculated by adopting a finite difference method: In the formula, Is a parameter Is used for the detection of the sensitivity of (a), Representing a certain co-ordination parameter, and, Is the tiny variation of the parameter; Calculating the normalized sensitivity of each parameter, identifying key parameters according to the normalized sensitivity, optimizing the key parameters, establishing a parameter optimization problem, setting constraint conditions, solving by adopting a particle swarm optimization algorithm, updating the position and speed of particles, and calculating the performance score under Dai Qi parameter combinations when each iteration needs to call simulation, wherein the particle position corresponds to a group of coordinated parameter values ; The PSO algorithm iterates until the termination condition is met as follows In which, in the process, In order to optimize the convergence threshold value, And updating the optimized optimal parameters to a group control coordination algorithm for simulation verification again, and if the performance improvement meets the requirement, storing the optimal parameters.
- 8. The power grid distributed power flow controller group control strategy verification and coordination optimization system is characterized by comprising a power distribution network digital simulation module, a communication network simulation module, a hardware interface module, a group control coordination algorithm module, a performance evaluation module and a parameter optimization module, wherein the power distribution network distributed power flow controller group control strategy verification and coordination optimization system is used for applying the power distribution network distributed power flow controller group control strategy verification and coordination optimization method according to any one of claims 1-7; the power distribution network digital simulation module is used for digitally modeling the running state of the power distribution network, and calculating the voltage of each node and the line power flow of the power distribution network in real time as state variables of the optimization problem after modeling; The communication network simulation module is used for establishing communication network simulation to simulate the characteristics of delay, packet loss and bandwidth limitation of an actual communication network and calculating an information packet received by receiving equipment; The hardware interface module is used for connecting the physical equipment of the distributed power flow controller with the digital simulation system to form a semi-physical simulation closed loop, converting analog signals and digital signals, updating a node power balance equation and recalculating the state of the power distribution network; The group control coordination algorithm module optimizes a global objective function through a group control coordination algorithm of a plurality of power flow controllers, decomposes a centralized optimization problem, converts the obtained control quantity into a power reference value of the controllers, and executes control actions; The performance evaluation module is used for performing multi-dimensional evaluation on the performance of the group control system based on the semi-physical simulation closed-loop running data and defining the comprehensive performance score of the group control system; and the parameter optimization module is used for coordinating parameter optimization based on sensitivity analysis by the group control system, updating the optimal parameter obtained by optimization into a group control coordination algorithm, and carrying out simulation verification again.
- 9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the distributed power flow controller group control policy verification and coordination optimization method of a power distribution network according to any one of claims 1 to 7.
- 10. A computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the power distribution network distributed power flow controller group control strategy verification and coordination optimization method of any of claims 1 to 7.
Description
Distributed power flow controller group control strategy verification and coordination optimization method, system, equipment and medium for power distribution network Technical Field The invention relates to the technical field of power system automation and control, in particular to a power distribution network distributed power flow controller group control strategy verification and coordination optimization method, a system, equipment and a medium. Background With the large-scale access of distributed power sources and flexible loads to a power distribution network, the conventional reactive power compensation and voltage regulation means have difficulty in meeting the flexible regulation and control demands. The distributed power flow controller (Distributed Power Flow Controller, DPFC) is used as novel flexible power distribution equipment, and can quickly and flexibly adjust active and reactive power flows of lines and improve voltage quality and power flow distribution of a power distribution network. However, when multiple distributed power flow controllers are operating in the same distribution network, the following disadvantages mainly exist in the prior art: 1) Lack of an effective group control coordination mechanism, control conflicts are easy to generate among devices The existing distributed power flow controller generally adopts an independent control mode, each device independently decides and controls actions only according to local measurement information, and the mutual influence among a plurality of devices is not considered. When a plurality of controllers act simultaneously, the problems of control target conflict, control oscillation and the like are easy to occur due to lack of unified coordination 2) The group control verification means is single, and the performance of the coordination strategy cannot be comprehensively evaluated The existing group control strategy verification mainly relies on off-line simulation or small-scale laboratory test, and lacks a comprehensive verification platform close to the actual running environment. Although the offline simulation is fast in calculation speed, the model simplification degree is high, and the influence of factors such as actual response characteristics, communication delay, measurement errors and the like of equipment on the group control performance is difficult to accurately reflect. 3) The tuning of the coordination parameters lacks theoretical guidance, and the optimization efficiency is low The distributed power flow controller group control system relates to a large number of coordination parameters, such as inter-equipment communication period, control weight coefficient, convergence criterion threshold value and the like, and the parameters directly influence the response speed and stability of the group control system. In the prior art, a trial-and-error method or an empirical formula is mainly adopted for parameter setting, and a systematic optimization method is lacked. Disclosure of Invention The present invention has been made in view of the above-described problems. Therefore, the invention aims to solve the technical defects of the prior art, such as lack of a group control coordination mechanism, single verification means, low parameter optimization efficiency and the like In order to solve the technical problems, the invention provides the technical scheme that the group control strategy verification and coordination optimization method for the distributed power flow controller of the power distribution network comprises the following steps of, The method comprises the steps of performing digital modeling on the running state of a power distribution network, calculating the voltage of each node and the line current of the power distribution network in real time after modeling to serve as state variables of an optimization problem, establishing delay, packet loss and bandwidth limiting characteristics of a communication network simulation actual communication network, calculating an information packet received by receiving equipment, connecting physical equipment of a distributed power flow controller with a digital simulation system to form a semi-physical simulation closed loop, converting analog signals and digital signals, updating a node power balance equation, recalculating the state of the power distribution network, optimizing a global objective function through a group control coordination algorithm of a plurality of power flow controllers, decomposing the centralized optimization problem, converting the obtained control quantity into a power reference value of the controller, executing control actions, performing multi-dimensional evaluation on the performance of the group control system based on the running data of the semi-physical simulation closed loop, defining comprehensive performance scores of the group control system, optimizing the coordination parameters based on sensitivity analysis by the gr