Distribution Network Reconfiguration with Improved Multi-Objective Particle Swarm Optimization Algorithm

Abstract

In this paper, the distribution network fault using the ergodic search method for island division, so that the power outage users at least, in order to guarantee the power supply needs of important users. In this paper, a multi-objective particle swarm optimization algorithm based on population division and mutation strategy is proposed to recover power supply of non-failure outage areas. Firstly, the whole population is divided into several sub-populations of the same size, and update the optimal values of particles in each population. Individuals with relatively low fitness can use the larger perturbation generated by Cauchy variation strategy to search the global ability. For individuals with high fitness, small disturbance generated by Gaussian variation strategy can improve their local searching ability. Then, different inertia weight factors are assigned to different subpopulations to enhance their searching ability. Finally, the distribution network model of PG&E69 nodes in the United States is simulated and analyzed. The simulation results show that the method that proposed in this paper is effective.