摘要
为提高含电缆-架空混合线路配电网故障定位精度,提出一种基于改进象群优化算法的配电网混合线路故障定位方法。首先,根据故障行波的传播特性以及配电网的结构特点,分析了多端行波信息差异矩阵的“唯一性”,并以此为基础构建了故障定位模型,将定位问题转化为寻优求解问题。然后,利用改进象群优化算法和OPTICS(ordering points to identify the clustering structure)聚类算法对第1次寻优结果中多端行波信息差异矩阵的各元素进行聚类分析,找出存在时间同步误差的坏数据。最后,在考虑正常数据的情况下进行第2次寻优,实现故障的精确定位。仿真结果表明,该方法在不需预设行波波速的情况下,能够实现较准确的故障定位,且具有较强时间误差鲁棒性。
To improve the fault location accuracy of distribution network containing cable-overhead hybrid lines,a fault location method for hybrid lines in distribution network based on an improved elephant herding optimization(EHO)algorithm is proposed.First,according to the propagation characteristics of fault traveling wave and the structural characteristics of distribution network,the“uniqueness”of multi-terminal traveling wave information difference matrix is analyzed,based on which a fault location model is built,so the location problem is transformed into an optimization problem.Then,the elements of the multi-terminal traveling wave information difference matrix in the first optimization result are clustered using the improved EHO algorithm and the ordering points to identify the clustering structure(OPTICS)clustering algorithm,thus finding the bad data with time synchronization error.Finally,considering the normal data,the second optimization is carried out to achieve accurate fault location.Simulation results show that the proposed method can achieve accurate fault location without presetting the traveling wave velocity,and it also has a strong time error robustness.
作者
彭维馨
李泽文
夏翊翔
梁流涛
唐迪
PENG Weixin;LI Zewen;XIA Yixiang;LIANG Liutao;TANG Di(College of Electrical and Information Engineering,Changsha University of Science and Technology,Changsha 410114,China;State Grid Yongzhou Power Supply Company,Yongzhou 425000,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2022年第11期1-11,共11页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(51877012)
湖南省研究生科研创新项目(CX20210786)
长沙理工大学研究生实践创新项目(SJCX202057)。
关键词
混合线路
配电网
行波定位
象群优化算法
时间同步误差
hybrid line
distribution network
traveling wave location
elephant herding optimization(EHO)algorithm
time synchronization error
