Research Of Distribution Network Fault Location Based On Particle Swarm Optimization

When the distribution network failure,will affect the reliability and security of power supply,will cause the lives of users of electricity inconvenience.Therefore,to improve the power distribution network reliability is the power industry staff must face the subject.However,with the upgrading of the grid structure,the voltage level is also rising,the distribution network topology becomes more and more cumbersome.Although the national grid to invest a lot of money to improve the distribution network,but due to the aging of the line,the frequent occurrence of natural disasters and human error and other factors,the distribution network will often fail.Therefore,how to improve the ability of the distribution network to diagnose the fault and the accuracy of the diagnostic results become a hot research topic for some time to come.Distributed power supply access,for the distribution network fault location areas,but also brought a new challenge.In this paper,the application of the standard binary particle swarm algorithm in the fault location of the traditional distribution network is improved,and the inertia weight of the compression factor and the linear decreasing is introduced to generate a new improved binary particle swarm algorithm.P.erformance,but also verify the practicality of the method,but also for the study of distributed power distribution network with fault location provides a diagnostic method.At the same time,the method of providing the distribution network hardware,ARM + FPGA system can not only effectively deal with the data,but also to ensure the work efficiency.In this paper,we focus on the fault location of distributed distribution network with distributed power supply,improve the traditional algorithm and simulate,and design the hardware device to verify its practicability.Which provides a basis for the fault location of distribution network with distributed power supply.