广西师范大学学报（自然科学版）2024，Vol.42Issue(4)：64-73,10.DOI:10.16088/j.issn.1001-6600.2023041407
基于ICOA-IEM算法的含分布式电源配电网分区故障定位
Fault Location of a Distribution Network Hierarchical Model with a Distribution Generator Based on ICOA-IEM
摘要
Abstract
The large-scale integration of distributed power sources complicates the structure of the distribution network,resulting in increased difficulty in fault localization.A distribution network partition fault location method with improved chimpanzee algorithm is proposed.Firstly,Iteration mapping is introduced to improve the initialized population quality,and then Cauchy variation and backward learning strategy as well as simplex method are added to improve the local exploitation capability and exploration capability of the algorithm.The switching function and objective function containing distributed power supply are established,and the region is divided according to the correspondence mechanism between the fault point and the switching function.Finally,it is verified by simulation that the proposed method improves the solution speed by 43.05％on average and the accuracy by 1.17％on average compared with the traditional chimpanzee algorithm partitioning localization method.It is shown that the method can accurately and rapidly locate the faulty zones with high fault tolerance.关键词
分布式电源/配电网/故障定位/分区/改进黑猩猩算法Key words
distribution generator/distribution network/fault location/subregion/improved chimpanzee algorithm分类
信息技术与安全科学引用本文复制引用
吴艺,文中,冯铃,覃治银,郑连华,汤伟钊..基于ICOA-IEM算法的含分布式电源配电网分区故障定位[J].广西师范大学学报（自然科学版）,2024,42(4):64-73,10.基金项目
国家自然科学基金(51807110) （51807110）
