基于暂态波形相似度的特高压输电线路故障定位技术  

Fault location technology of UHV transmissionline based on transient waveform similarity

作　　者：孔伟伟 何安明 吴立刚 Kong Weiwei;He Anming;Wu Ligang(Anhui Jiyuan Software Co.,Ltd.,State Grid Communication Co.,Ltd.,Anhui Hefei,230031,China)

机构地区：[1]国网信通股份公司安徽继远软件有限公司,安徽合肥230031

出　　处：《机械设计与制造工程》2024年第5期109-114,共6页Machine Design and Manufacturing Engineering

摘　　要：为提升输电线路故障定位精度,提出基于暂态波形相似度的特高压输电线路故障定位技术。根据输电线路正反向差电流与故障点电流的关联关系,采用Pearson关联系数分析故障数据正反向差电流波形细节处的相似度,构建故障测距函数,结合细菌觅食优化算法及改进蚁群算法优化故障测距函数,求解行波流经故障位置两侧的时间差,通过计算输电线路端点到故障点的距离,实现特高压输电线路故障定位。实验结果表明:该技术可实现对输电线路各位置、各类型故障的精准定位,且受过渡电阻、噪声的影响较小。Aiming at the accuracy of fault location for transmission lines,a fault location technology for ultra-high voltage transmission lines based on transient waveform similarity is proposed.Based on the correlation between the forward and backward differential currents of the transmission line and the current at the fault point,it uses Pearson correlation coefficient to analyze the similarity of the waveform details of the forward and backward differential currents in the fault data,and builds a fault location function.Combining bacterial foraging optimization algorithm and improved ant colony algorithm,the fault location function is optimized to solve the time difference between the traveling waves passing through both sides of the fault location.By calculating the distance from the endpoint of the transmission line to the fault point,it realizes fault location of ultra-high voltage transmission lines.The experimental results show that this technology can achieve precise positioning of various positions and types of faults on transmission lines,and is less affected by transition resistance and noise.

关 键 词：波形相似度 特高压 故障定位 细菌觅食优化算法 蚁群算法 

分 类 号：TM721[电气工程—电力系统及自动化]