Research On FACTS Interactive Influence And Multi-objective Intelligent Optimal Configuration Based On Gain Matrix

With the increasing environmental pollution caused by coal power generation and the implementation of energy saving and emission reduction policies,new energy power generation technology has attracted the attention of many experts and scholars.However,the grid connection of the electric energy generated by new energy generation will cause the grid voltage to fluctuate,which will affect the stability of the power system.Therefore,flexible AC power transmission technology is widely used in the power grid,and flexible AC power transmission technology(FACTS)equipment installed in the power grid will increase the power transmission capacity of the power grid and improve the stability of the power grid.However,during the use of FACTS equipment,many experts and scholars have found that the joint use of multiple FACTS equipment has an interactive effect,which reduces the control performance of the FACTS equipment,and in severe cases,it will lead to instability of the power grid.Therefore,this article focuses on the two kinds of compensation devices commonly used in power grids as the research object,and studies the interaction relationship between the same type of FACTS equipment and different types of FACTS equipment and the optimization of configuration issues.This article first introduces two commonly used compensation devices,static var compensator(SVC)and static var generator(SVG),based on the interactive effects of the same FACTS equipment and different types of FACTS equipment.The circuit principles of these two devices are introduced.With the structure of these two devices,a linearized mathematical model of SVC and SVG is established.On this basis,a multimachine power system linearization model containing these two FACTS devices is established to lay the foundation for the subsequent theoretical research and timedomain simulation.Then,according to the established mathematical model of the multi-machine power system,the state space method is used to calculate the transfer function of the power system.Then according to the theoretical analysis method of RGA and NI,the parameters of RGA and NI are calculated.By conducting time-domain simulation experiments on the four-machine two-zone power system model,and using the RGA and NI calculation methods to obtain the RAG and NI parameters,the electrical distance between the same type of FACTS equipment or different types of FACTS equipment and the two equipment can be obtained.The relationship of mutual influence.Through the two analysis methods of RGA and NI,it is concluded that as the electrical distance between the two FACTS devices,that is,the greater the impedance between the bus bars of the two FACTS devices,the smaller the interaction between them.At the same time,the time domain simulation results It can also be seen from the voltage waveform diagram that as the electrical distance between the two FACTS devices increases,the voltage changes can follow the interference changes to complete the corresponding changes,so it is possible that the greater the electrical distance,the smaller the interaction effect,and at the same time with the RGA And the NI analysis method mutually confirms the accuracy of its conclusions.This paper proposes an improved particle swarm optimization algorithm for optimal configuration to solve the problem of multi-objective optimal configuration in power systems.Through the simulation experiment of the IEEE-14 node power system model,according to the experiment,compared with the traditional particle swarm algorithm,the optimized configuration of the improved particle swarm algorithm can reduce the interaction impact,and reduce the investment cost and increase This improves the power transmission capacity and voltage stability of the power system.