摘要
为了快速准确地定位电网故障,根据含分布式电源(Distributed Power,DG)的配电网与传统配网之间的异同点,建立含DG配电网故障定位的数学模型。文中重新构造用于含DG的配网故障定位评判函数,利用混沌理论对二进制粒子群算法(Binary Particle Swarm Optimization,BPSO)进行改进,并利用构造的含DG配电网案例验证了所提模型与算法的可行性与有效性。
In order to locate the grid fault quickly and accurately,according to the similarities and differences between the distribution network with distributed power(DG)and the traditional distribution network,the mathematical model of fault location in the distribution network with DG is established.In this paper,the evaluation function of distribution network fault location with DG is reconstructed,and the binary particle swarm optimization(BPSO)is improved by using chaos theory;the feasibility and effectiveness of the proposed model and algorithm are verified by using the distribution network with DG.
作者
段颖梨
刘鹏华
段小妹
DUAN Ying-li;LIU Peng-hua;DUAN Xiao-mei(Heilongjiang University of Science and Technology,School of Electrical and Control Engineering,Harbin 150000,China;State Grid Henan DC management Office,Zhengzhou 450000,China;State Grid Tangyin Power Supply Cpmpany,Tangy in 456150,China)
出处
《通信电源技术》
2020年第5期22-25,共4页
Telecom Power Technology
关键词
故障定位
粒子群算法
混沌理论
fault location
particle swarm optimization
chaos theory
