Research On Fault Location And Recovery Method Of Intelligent Distribution Network

With the transformation of the social power system,the power supply mode is constantly enriched.More and more distributed power sources are connected to the power grid,which brings great challenges to the safe and efficient operation and fault maintenance of the daily power grid.Many conventional methods have failed,but a large number of new methods have emerged to solve the current problems.From the perspective of improving the stability of power supply,this paper studies the existing intelligent power distribution terminals in the current smart grid,and further explores the basis of Multi-Agent Intelligent distribution network protection and control.In this paper,the intelligent distribution network model establishment,intelligent distribution terminal model establishment,fault detection and fault location method based on intelligent distribution terminal,Multi-Agent based intelligent distribution network fault recovery method,intelligent distribution terminal design and development are analyzed in detail.Firstly,based on the analysis of the intelligent distribution network model,the multi-agent intelligent distribution network model is established,and the concrete structure,function and coding mode of the agent are analyzed in detail,which lays a foundation for the realization of the protection and control algorithm of the intelligent distribution network.Secondly,the paper introduces the particle swarm optimization(PSO)algorithm and improves it,modeling and simulating the fault location of traditional distribution network and distribution network with distributed power respectively.Through the analysis of specific examples,it can be seen that the basic particle swarm optimization algorithm converges quickly and is easy to use when setting simple traditional distribution network fault location for the problem with fewer parameters.However,for the distribution network system with distributed energy,the model is relatively complex,which contains many variables and nodes,and the fault situation is complex,so the optimized multi-objective particle swarm optimization algorithm can improve the diagnosis speed and accuracy of fault location,and has a certain fault tolerance.Finally,in the fault recovery research of intelligent distribution network based on multi-agent,a distribution network reconstruction method based on Multi-Agent Particle Swarm Optimization Algorithm(MAS-PSO)is proposed to make it converge to the global optimal solution faster and more accurately.Furthermore,the simulation experiment is carried out with field data to realize the self-healing control of distribution network with MAS-PSO algorithm and improve the self-healing level.This paper has 23 figures,6 tables and 86 references.