In order to solve the problems that during the fault line selection and location for the distribution network,the artificial intelligence algorithms are easily trapped into the local optimal solutions and are difficult to meet the requirements in both accuracy and robustness,a fault line selection and location algorithm for distribution network based on the improved particle swarm optimization( PSO) neural network was proposed. The proposed algorithm combines the chaos optimization and PSO algorithms to obtain a new PSO algorithm with stronger convergence ability. Through extracting the characteristics of both transient and steady states of zero-sequence voltage and current of distribution network,the feature vector was formed,and the PSO neural network algorithm was trained and improved with the training set. Therefore,the fault line and location of distribution network can be predicted more accurately. The results of simulation test show that the proposed algorithm can obtain more accurate line selection and location results,and has certain practicality.
Journal of Shenyang University of Technology
particle swarm optimization
fault line selection