摘要
针对特高压直流输电线路有可能发生的雷电故障,以扎鲁特—青州±800 kV特高压直流工程为研究对象,通过雷击故障仿真进行相应的特征分析,建立计算模型获取电气故障数据,结合电气特征量和非电气特征量,采用BP神经网络方法对雷击故障原因进行辨识,将辨识结果与所设置故障作比较,以此来确定该方法的准确性。经检验,该方法能够准确辨识特高压直流输电线路的雷击故障。
In view of the possible lighting fault to the UHVDC transmission line,take the±800 kV UHVDC project from Zhalute to Qingzhou as the research object,make an analysis of the characteristics of the lightning failures through the simulation analysis.The calculation model is established for electrical fault data,combined with the electrical and the non⁃electrical characteristics quality,BP neural network method is used for lightning research to identify the cause of the problem.The identification results are compared with the set faults to determine the accuracy of the method.The results show that this method can accurately identify the lightning fault of UHVDC transmission lines.
作者
冯裕山
王纯
FENG Yushan;WANG Chun(State Grid East Inner Mongolia Maintenance Company,Tongliao 028000,China)
出处
《内蒙古电力技术》
2021年第5期64-68,共5页
Inner Mongolia Electric Power
关键词
特高压直流输电线路
雷击故障
故障辨识
非电气特征量
电气特征量
过渡电阻
UHVDC transmission line
lightning fault
fault identification
non-electrical characteristic quantity
electrical characteristic quantity
transition resistance