基于微型同步相量单元数据的配电线路故障测距方法  

Distribution line fault location method based on micro-synchronous phasor unit data

作　　者：刘树鑫[1] 卓裕 李津 田二胜 刘洋[2] Liu Shuxin;Zhuo Yu;Li Jin;Tian Ersheng;Liu Yang(School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870;State Grid XJ Group Corporation,Xuchang,He’nan 461000)

机构地区：[1]沈阳工业大学电气工程学院,沈阳110870 [2]国家电网许继集团有限公司,河南许昌461000

出　　处：《电气技术》2020年第10期63-70,共8页Electrical Engineering

摘　　要：为准确判断配电线路短路故障点的位置,本文在考虑相间耦合、三相不平衡、对地电容因素的基础上,建立配电线路参数辨识及故障测距的数学模型,提出一种结合自适应遗传算法的先参数辨识后故障测距算法。在PSCAD/EMTDC中进行仿真分析,对参数辨识的误差及其对最终测距的影响进行研究,分析不同线路类型、短路故障类型、过渡电阻、故障初始角等对算法的影响并与传统测距算法做对比,测距结果证明本文提出的算法具有较高的测距准确度,并且有效克服了现有测距方法对电缆线路测距误差大的缺陷。In order to accurately determine the location of the short circuit fault point of the distribution line,this paper establishes a mathematical model for distribution line parameter identification and fault location based on the consideration of phase-to-phase coupling,three-phase unbalance,and ground capacitance factors,and proposes a Combined with adaptive genetic algorithm,first parameter identification and then fault location algorithm.Carry out simulation analysis in PSCAD/EMTDC,analyze and compare the error of parameter identification and its impact on the final ranging,analyze the impact of different line types,short-circuit fault types,transition resistance,fault initial angle,etc.on the algorithm and compare it with traditional ranging algorithms In comparison,the ranging results prove that the algorithm proposed in this paper has higher ranging accuracy and effectively overcomes the shortcomings of the existing ranging method for large cable line ranging errors.

关 键 词：配电线路 短路故障 参数辨识 故障测距 双端阻抗法 自适应遗传算法 

分 类 号：TM75[电气工程—电力系统及自动化] TM933.313