摘要
灰狼算法具有结构简单、概念清晰、易实现和全局性能好等优点,但由于存在后期收敛速度慢、局部搜索能力弱等缺点。为提高配网故障定位的准确性和快速性,对灰狼优化算法进行了改进。首先,由于配网故障定位方法可以把问题表示为0～1整数规划问题,故引入转换函数,以解决算法在二进制空间里位置更新问题。然后引进动态权重策略,以平衡算法的全局搜索能力和局部搜索能力且加快算法收敛速度。最后加入概率扰动策略,使算法避免过早陷入局部收敛。本文通过配网故障的算例分析来验证改进二进制灰狼优化算法的可行性和高效性。
The gray wolf algorithm has the advantages of simple structure, clear concept, easy implementation, good global performance, etc., but it has the disadvantages of slow convergence and weak local search ability in the later period. In order to improve the accuracy and rapidity of the fault location of the distribution network, the grey wolf optimization algorithm is improved. First of all, because the network fault location method can represent the problem as 0~1 integer programming problem, the conversion function is introduced to solve the problem of location update in binary space. Then the dynamic weight strategy is introduced to balance the global search capability and local search capability of the algorithm and accelerate the convergence speed of the algorithm. Finally, a probabilistic perturbation strategy is added to avoid premature local convergence of the algorithm. In this paper, the feasibility and efficiency of the improved binary grey wolf optimization algorithm are verified by an example.
作者
陈磊
詹跃东
田庆生
Chen Lei;Zhan Yuedong;Tian Qingsheng(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China;Kunming University of Science and Technology’s Postgraduate Workstation of Yunnan Power Grid Company,Kunming 650217,China;Yunnan Electric Power Research Institute (Group) Co.,Ltd.,Kunming 650217,China)
出处
《电子测量技术》
2019年第1期1-5,共5页
Electronic Measurement Technology
基金
国家自然科学基金(51667012)项目资助
关键词
配电网
故障定位
改进二进制灰狼优化算法
容错性
工程实用性
distribution network
fault location
improved binary gray wolf optimization algorithm
fault tolerance
engineering practicality
作者简介
陈磊,1993年出生,硕士研究生,主要研究方向为配网自动化,E-mail:987701130@qq.com;詹跃东,1963年出生,教授,主要研究方向为电力电子技术、分布式电源接入技术研究等;田庆生,1979年出生,高级工程师,主要研究方向为配用电技术等。
