基于改进象群算法的220kV输电架空线路异常点定位研究  

Research on Anomaly Point Localization of 220 kV Overhead Transmission Lines Based on Improved Elephant Group Algorithm

作　　者：江顺源 吴昊宁 JIANG Shunyuan;WU Haoning(State Grid Fujian Electric Power Co.,Ltd.,Longyan Power Supply Company,Longyan 364000,China)

机构地区：[1]国网福建省电力有限公司龙岩供电公司,福建龙岩364000

出　　处：《通信电源技术》2025年第4期43-45,49,共4页Telecom Power Technology

摘　　要：当输电线路存在分支线路或者沿线的电磁环境复杂时,行波的传播特性会发生改变,导致根据行波到达时间差计算得到的异常点位置存在较大误差,定位精度难以满足实际需求。为提高220 kV输电架空线路异常点定位精度,利用改进象群算法,提出了线路异常点定位方法研究。通过超声信号检测技术,获取线路的局部放电信息;提取线路局部放电超声信号特征,以反映不同位置放电信号的特征差异;利用改进象群算法,通过模拟象群觅食行为,实现全局寻优,输出异常点定位结果。实验结果表明,该方法应用后,异常点最大定位误差不超过0.05 km,能够准确定位220kV输电架空线路中的异常点,展现出卓越的定位精度和稳定性。When there are branch lines or complex electromagnetic environments along transmission lines,the propagation characteristics of traveling waves will change,resulting in significant errors in the location of abnormal points calculated based on the arrival time difference of traveling waves,and the positioning accuracy is difficult to meet practical needs.To improve the accuracy of locating abnormal points in 220 kV overhead transmission lines,a method for locating abnormal points in transmission lines was proposed using an improved image swarm algorithm.Obtain partial discharge information of the circuit through ultrasonic signal detection technology;Extract the characteristics of partial discharge ultrasonic signals from the circuit to reflect the differences in discharge signals at different locations;By utilizing an improved elephant swarm algorithm and simulating the foraging behavior of elephant swarms,global optimization can be achieved and abnormal point localization results can be output.The experimental results show that after the application of this method,the maximum positioning error of outliers does not exceed 0.05 km,and it can accurately locate outliers in 220 kV overhead transmission lines,demonstrating excellent positioning accuracy and stability.

关 键 词：改进象群算法 220kV输电架空线路 异常点 定位 误差 精度 

分 类 号：TM7[电气工程—电力系统及自动化]