A Novel Fault Locating Method of Distribution Network Based on Multiple Objective Particle Swarm Optimization

Abstract

More and more distributed generators (DGs) are connected to the distribution networks in recent, but complicates fault location process of DNs. To improve the power supply quality of the distribution network with DGs, higher precision and faster fault location methods are needed to adapt to complex network topologies. This paper proposes a fault locating method for the distribution network based on multiple objective particle swarm optimization (MOPSO). Firstly, according to the fault current characteristics of distribution networks with DGs, the mathematical model of fault location in the distribution network with DGs is established. And then, the switching function and evaluation function suitable of the distribution network with DGs are constructed. Secondly, the principle of MOPSO is introduced and the flow chart of fault location is analyzed. Finally, a simulation is carried out in the IEEE-33 standard network. The results show that the proposed method can locate single faults and multiple faults correctly under conditions of incomplete FTU fault information, and the accuracy and rapidity of the proposed method are improved to a certain extent.