Application of BPSO algorithm in model-based fault diagnosis of distribution network

A scheme of model-based fault diagnosis is proposed for distribution network,which obtains the minimal conflict sets according to the difference between the simulative data of distribution network principle model and the actual observed data,applies the discrete BPSO(Binary Particle Swarm Optimization)algorithm to reason out the possible fault elements and fault forms,and adopts the Bayesian method to finally determine the diagnosis conclusion with the highest probability. Practical modelling,programming and experiment verify its reliability and effectiveness. Simulative results show that,compared with HS-Tree algorithm,Boolean Algebra algorithm and genetic algorithm,the discrete binary particle swarm optimization algorithm has higher search efficiency,saving 1 / 3～1 / 2 of search time and avoiding memory overflow.