基于量子行为粒子群算法的含分布式电源的配电网故障定位  

Fault Location of Distribution Network with Distributed Power Supply Based on Quantum Behavior Particle Swarm Optimization Algorithm

作　　者：刘煜 王俊江 焦青 赵卫斌 王立婷 LIU Yu;WANG Junjiang;JIAO Qing;ZHAO Weibin;WANG Liting(Shandong University of Technology,Zibo 255049,China;Shandong Kehui Power Automation Company Limited,Zibo 255087,China)

机构地区：[1]山东理工大学,山东淄博255049 [2]山东科汇电力自动化股份有限公司,山东淄博255087

出　　处：《智慧电力》2020年第8期51-55,共5页Smart Power

基　　金：国家重点研发计划资助项目(2017YFB0902800)。

摘　　要：分布式电源的大量接入,使得传统配电网故障定位方法的适用性变差。针对这一问题,引入量子行为粒子群算法实现含分布式电源的配电网的故障定位。在对量子行为粒子群算法进行改进后,使其更适用于包含0-1离散变量的配电网故障定位。同时算法融入了自然选择的淘汰机理,提高了算法的收敛性和精确性。考虑到在实际应用中故障信息的缺失,对信息采用了相应的补漏措施,提高了算法的容错性。算例的仿真结果验证了该算法定位的准确性、适用性及可行性。The large amount of access of distributed power supply has weakened the applicability of traditional distribution network fault location method.To solved this problem,quantum behavior particle swarm optimization algorithm is introduced to locate the fault of the distribution network with distributed power supply.After improved the quantum behavior particle swarm optimization algorithm,it is more suitable for the fault location of distribution network with 0-1 discrete variables.Meanwhile,the algorithm integrates the elimination mechanism of natural selection to improve the convergence and accuracy of the algorithm.Considering the absence of fault information in practical application,the corresponding remedial measures are adopted to improve the fault tolerance of the algorithm.Simulation results show that the proposed algorithm is accurate,applicable and feasible.

关 键 词：分布式电源 量子行为粒子群算法 配电网 故障定位 

分 类 号：TM711[电气工程—电力系统及自动化]