改进量子遗传算法在含分布式电源配电网中的应用  

Application of improved quantum genetic algorithm in distribution network with distributed generation

作　　者：张雅婷 郭亮 郭达 李乾 刘保安 Zhang Yating;Guo Liang;Guo Da;Li Qian;Liu Baoan(State Grid Taiyuan Power Supply Company,Taiyuan 030012,China;State Grid Shijiazhuang Power Supply Company,Shijiazhaung 050000,China)

机构地区：[1]国网太原供电公司,太原030012 [2]国网石家庄供电公司,石家庄050000

出　　处：《电测与仪表》2023年第11期130-135,共6页Electrical Measurement & Instrumentation

摘　　要：针对配电网中分布式电源的不断接入使得故障定位越来越困难,为了准确地定位故障和快速隔离故障支路,文中提出一种改进的量子遗传算法用于含分布式电源的配电网故障定位。利用动态旋转角策略更新量子门,在使用Tent映射的混沌优化法跳出局部最优。通过仿真对改进前后的算法进行对比分析,验证算法的准确性和有效性。仿真结果表明,所提方法具有收敛速度快、执行时间短等优点,能有效地定位故障区域。此研究为我国配电网故障定位方法的发展提供了参考和借鉴。The continuous access of distributed power supply in distribution network makes fault location more and more difficult,in order to locate fault quickly and accurately and isolate fault branch quickly,this paper presents an improved quantum genetic algorithm for fault location of distribution networks containing distributed power supply.The quantum gate is updated with the dynamic rotation angle strategy,and the chaos optimization method using mapping is adopted to jump out of the local optimal.This method is compared with the algorithm before improvement through simulation to verify the accuracy and effectiveness of the proposed algorithm in this paper.The simulation results show that this method has the advantages of fast convergence speed,short execution time and can locate the fault area effectively.This study provides a reference for the development of fault location methods of distribution network in China.

关 键 词：分布式电源 配电网 故障定位 量子遗传算法 混沌优化法 

分 类 号：TM72[电气工程—电力系统及自动化]