Research on Hybrid Particle Swarm Optimization for Distribution Network Optimization
LU Xinhao(1，2)，SONG Wei(1，3)
1（School of Internet of Things Engineering，Jiangnan University，Wuxi 214122，China）2（State Grid Jiangsu Electric Power Maintenance Branch Company，Nanjing 211102，China）3（Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence，Jiangnan University，Wuxi 214122，China）
Abstract：The optimization of distribution network topology is an important task in the operation of distribution network.Taking the minimum active power loss of the network as the objective function，and taking node voltage，line capacity and radial structure as the constraint conditions，this paper proposes a hybrid particle swarm optimization algorithm，which effectively determines the optimal configuration of the distribution network.Hybrid particle swarm optimization algorithm does not need to update the particle position through the original particle swarm algorithm formula，but introduces the crossover and mutation operation of genetic algorithm，which updates the particle position through the crossover of the individual extreme value of the particle and the group extreme value of the particle and the mutation of the particle itself，thus speeding up the search speed of the algorithm.This method is applied to the optimization calculation of IEEE33 distribution network，and the results show that the global optimal value can be found every time.
陆鑫昊(,),宋威(,). 混合粒子群算法用于配电网优化的研究[J]. 小型微型计算机系统, 2020, 41(8): 1788-1792.
LU Xinhao(,),SONG Wei(,). Research on Hybrid Particle Swarm Optimization for Distribution Network Optimization. Journal of Chinese Computer Systems, 2020, 41(8): 1788-1792.
2020, Vol. 41 
