基于改进粒子群算法的配电网故障自愈算法  

Distribution Network Fault Self-healing Algorithm Based on Improved PSO

作　　者：吴静子[1] 魏登峰[2] 

机构地区：[1]长沙理工大学,长沙410114 [2]国网福建省电力有限公司电力科学研究院,福州350007

出　　处：《电力学报》2014年第3期206-210,222,共6页Journal of Electric Power

摘　　要：首先根据配电故障自愈系统的基本功能及配电网的供电要求,建立了以计算最大自适应度值为计算目标的配电网故障自愈目标函数及其相关参数的约束条件;随后介绍了基于浓度的改进粒子群寻优算法的工作原理及其实现步骤;最后结合配电网故障自愈目标函数和改进粒子群算法,提出了基于改进粒子群算法的配电网故障自愈控制算法,并给出了算法的实现流程图和仿真结果。仿真结果表明,所提配电网故障自愈控制算法具有较好的收敛性。Firstly, according to the main function of distri- bution network self-healing system and requirements of distribution network supply, the paper expounds the distribution network self-healing control system performance evaluation. Based on this evaluation, the paper builds distribution network self-healing objective function and its constraints related param- eters which calculate the maximum fitness value for the calculation of the target. Then it introduces working principle of parti- cle swarm optimization（PSO）. And details implementation steps of improved particle swarm optimization algorithm. Finally, combines distribution network self-healing objective function and improved particle swarm algorithm, put forwards control method of distribution network self-healing which based on PSO, and introduces its working principle and realization flow chart. The simulation results show that method of distribution network self-healing control in this paper has better convergence.

关 键 词：配电网 基于浓度改进粒子群算法 故障自愈 

分 类 号：TM711[电气工程—电力系统及自动化]