基于关联维分析法的高压输电线故障检测与分类  

Application of Correlation Dimension in Transmission Line Fault Detection and Classification

作　　者：李炜[1] 刘文莉[1] 陈玉武[1] 

机构地区：[1]兰州理工大学电气工程与信息工程学院,甘肃省兰州市730050

出　　处：《电网技术》2009年第20期152-157,共6页Power System Technology

基　　金：甘肃省自然科学基金项目(3ZS051-A25-032)

摘　　要：基于关联维分析法研究了高压输电线路故障的检测与分类问题,利用Grassberger-Procaccia和最小二乘回归算法,分别计算高压输电线路各相电压行波的关联维数,并与事先分析确定的关联维门限值比较,判断故障是否发生及发生在何相,然后以接地评价指标对故障相进行接地检测,实现了对高压输电线路故障的检测和初步分类。仿真结果表明,关联维分析方法应用在高压输电线路故障诊断中是可行的。The correlation dimension analysis method is applied to fault detection and classification of transmission line By use of Grassberger-Procaccia （G-P） algorithm and least square regression algorithm, the correlation dimensions of voltage traveling waves of all phases of transmission line are respectively calculated, and calculation results are compared with predetermined correlation dimension threshold to judge whether or not in which one phase the fault occurred; and then the ground detection of faulty phase is performed by ground evaluation index to implement the fault detection and preliminary classification of high voltage transmission line fault. Simulation results show that it is feasible to apply correlation dimension analysis to fault detection of high voltage transmission lines.

关 键 词：关联维数分析 输电线路 故障检测 故障分类 

分 类 号：TM726[电气工程—电力系统及自动化]