基于改进粒子群算法的配电站低压故障实时监测方法  

Real-Time Monitoring Method of Low-Voltage Fault in Distribution Station Based on Improved Particle Swarm Optimization Algorithm

作　　者：闫振华 罗海荣 何鹏飞 田永兴 张亚杰 YAN Zhenhua;LUO Hairong;HE Pengfei;TIAN Yongxing;ZHANG Yajie(Electric Power Research Institute of State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan 750001,China;State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan 750001,China)

机构地区：[1]国网宁夏电力有限公司电力科学研究院,宁夏银川750001 [2]国网宁夏电力有限公司,宁夏银川750001

出　　处：《通信电源技术》2022年第17期46-48,共3页Telecom Power Technology

摘　　要：低压故障监测设置回路抗阻值来判定是否发生故障,无法保证故障节点的定位精度,导致监测精度较差。提出基于改进粒子群算法的配电站低压故障实时监测方法,采用异常值平滑以及特征归一化手段对配电站特征参数进行预处理,加入进化因子规避粒子群算法局部收敛的弊端,实现对配电站低压故障的精准检测。实验结果表明,利用提出的方法进行配电站低压故障定位与监测具有较高的故障监测精度。Low-voltage fault monitoring sets the loop impedance value to determine whether a fault occurs,which can’t guarantee the positioning accuracy of the fault node,resulting in poor monitoring accuracy.A realtime monitoring method of low-voltage fault in distribution station based on improved particle swarm optimization algorithm is proposed.Outlier smoothing and feature normalization are used to preprocess the characteristic parameters of distribution stations,and evolutionary factors are added to avoid the local convergence of particle swarm optimization algorithm,so as to realize accurate detection of low-voltage faults in distribution stations.The experimental results show that the proposed method has high fault monitoring accuracy for locating and monitoring low-voltage faults in distribution stations.

关 键 词：改进粒子群算法 配电站 低压故障监测 

分 类 号：TM73[电气工程—电力系统及自动化]