Distribution Network State Estimation Based on Differential Particle Swarm Optimization
In order to estimate the operating state of distribution network more accurately,a distribution net-work estimation method based on DEPSO algorithm is proposed.The optimization strategy of PSO algorithm is im-proved by using the idea of differential evolution,and DEPSO algorithm with better optimization performance is ob-tained.The IEEE33-node system is simulated and analyzed,and compared with the differential algorithm and parti-cle swarm algorithm.The results show that,the average relative error of the estimation results of voltage and current by DEPSO algorithm is 1.26%and 0.79%respectively,which is more accurate than the estimation results of dis-tribution network state by other methods,which verifies the correctness and practicability of the proposed distribu-tion network estimation method.
distribution networkstate estimationdifferential particle swarm optimizationmeasurement da-tarelative error
万方数据
维普
