基于改进蚁群算法的配电网故障定位研究  

Research on Fault Location Method for Distribution Network Based on Improved Ant Colony Algorithm

作　　者：牛誉蓉 童威 NIU Yurong;TONG Wei(Anhui Wenda University of Information Engineering,Hefei 231201,China)

机构地区：[1]安徽文达信息工程学院,安徽合肥231201

出　　处：《安徽电气工程职业技术学院学报》2024年第3期98-103,共6页Journal of Anhui Electrical Engineering Professional Technique College

基　　金：2023年度安徽省高校自然科学研究项目“基于改进蚁群算法的智能电力设备状态监测与故障定位研究”(项目编号:2023AH052820)。

摘　　要：提升电网运行状态实时监控和故障定位能力对保障配电网的正常运行具有重要意义。文章采用了一种改进蚁群算法对配电网故障进行定位,结合配电网的结构特点,设计初始化信息素和动态更新信息素的策略,以提升算法的收敛速度和定位的准确性。仿真试验结果表明,采用改进蚁群算法可提升故障定位结果的准确性,同时,相对于传统的蚁群算法具有更好的收敛速度。It is of great significance to improve the capability of real-time monitoring and fault location for ensuring the normal operation of power distribution network.In this paper,an improved ant colony algorithm is used to locate distribution network faults.Based on the structural characteristics of distribution network,pheromone initialization and dynamic pheromone updating strategies are designed to improve the convergence speed and location accuracy of the algorithm.The simulation results show that the improved ant colony algorithm has good accuracy and better convergence speed than the traditional ant colony algorithm.

关 键 词：蚁群算法 信息素更新 配电网 故障定位 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM73[自动化与计算机技术—控制科学与工程]