Application Of Improved Particle Swarm Optimization Algorithm In Fault Location Of Distribution Network

When the power distribution network node fails,the fast and accurate fault location is the premise to eliminate the fault of the distribution network and restore the power supply at the fault.It is also an important link to ensure the stable operation of the entire distribution network and the entire power system.Therefore,choose the appropriate power distribution.The network fault location method is particularly important.In this paper,the particle swarm optimization algorithm is used to optimize the speed and apply it to the fault location of distribution network.Aiming at the shortcomings of binary cluster swarm algorithm in the fault location of complex distribution network,it is easy to achieve premature convergence and can not accurately locate faults.This paper proposes a bi-state binary particle swarm optimization algorithm based on the concept of two states to solve the above problems.By introducing evolutionary factors,the particle swarm is divided into two parts: the predator state and the exploratory state,and the particles that are trapped or about to fall into the local extremum are jumped out for global search,and the particle swarms of the two states share the search information.The evaluation function of fault location is constructed.Taking the IEEE-33-bus distribution network as an example,with the complete and partially distorted fault information,the algorithm and binary particle swarm optimization algorithm are used to locate single point faults and multi-point faults in the distribution network.Positioning for simulation analysis.The results show that the convergence and optimization ability of the algorithm are stronger than the binary particle swarm optimization algorithm.Aiming at the influence of distributed power supply after grid connection on distribution network fault location,this paper defines the positive direction for the distribution network with distributed power supply,redefines the coding of each switch node,and then applies the algorithm to distributed power supply.In the IEEE-33-bus distribution network,the algorithm is used to simulate the single point fault location and multi-point fault location in the distribution network.At the same time,the simulation analysis is carried out in the case of complete fault information and partial distortion.The results show that The algorithm is highly efficient and highly fault tolerant.Finally,the bi-state binary particle swarm optimization algorithm is applied to the distribution network fault location simulation system.The results show that the algorithm can find fault points more accurately and meet the needs.