基于参数识别的非对称故障双端不同步测距方法  

Asynchronous Two-terminal Fault Location Method for Unbalanced Fault Based on Parameter Identification

作　　者：穆卡[1] 王丰华[1] 刘亚东[1] 

机构地区：[1]上海交通大学电力传输与功率变换控制教育部重点实验室,上海200240

出　　处：《高电压技术》2017年第11期3763-3768,共6页High Voltage Engineering

基　　金：国家自然科学基金(51307109)~~

摘　　要：为消除线路双端数据不同步与线路参数不确定性所产生的测距误差,提出了一种基于参数识别的非对称故障双端不同步测距方法。该方法通过等值序网分析消除数据不同步角的影响,进而建立以线路参数和故障距离为待识别参数的故障测距方程组,并应用蛙跳粒子群算法对其进行求解从而确定故障位置。仿真分析与实际线路故障分析的计算结果均表明:所提方法原理上不存在伪根问题,无需线路参数参与计算,仅应用故障后数据即可在双端数据不同步的情况下准确定位故障位置,具有很高的测距精度与可靠性。研究结果可为输电线路的故障定位提供重要依据。We put forward an asynchronous two-terminal fault location method for unbalanced faults, intending to elim- inate fault location errors caused by asynchronous data and line parameter uncertainty. In the presented method, the asynchronous angle is eliminated based on sequence equivalent circuit analysis, and the fault location equations are estab- lished, in which the line parameters and the fault distance are the parameters to be identified. Then the equations are solved through a hybrid particle swarm and frog leaping algorithm to locate the fault point. Both simulation results and practical example using measured data show that the presented method is quite accurate and reliable without any false roots, and it is immune to line parameter uncertainty and can locate the fault point precisely only using unsynchronized fault data. The research may provide an important basis for the fault location of transmission lines.

关 键 词：输电线路 非对称故障 故障测距 双端不同步 参数识别 蛙跳粒子群算法 

分 类 号：TM75[电气工程—电力系统及自动化]