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基于小波变换的HVDC系统故障检测
引用本文:王金玉,赵月娇,孔德健,盖磊.基于小波变换的HVDC系统故障检测[J].国外电子测量技术,2017,36(2):37-40.
作者姓名:王金玉  赵月娇  孔德健  盖磊
作者单位:东北石油大学电气信息工程学院 大庆 163318,东北石油大学电气信息工程学院 大庆 163318,国网冀北电力有限公司检修分公司 北京 102488,东北石油大学电气信息工程学院 大庆 163318
摘    要:利用反向电压行波4层小波系数绝对值的最大值可以用来区分直流故障和交流故障。通过对HVDC系统进行建模,举例几种常见故障,并使用MATLAB小波工具箱进行模拟。通过观察各种不同故障期间反向行波电压深度为4层的离散小波分析,确定故障类型,并区分直流故障和交流故障类型。仿真结果验证了小波变换的实用性。

关 键 词:HVDC  小波分析  故障检测  反向行波电压  行波

Fault detection of HVDC system based on wavelet transform
Wang Jinyu,Zhao Yuejiao,Kong Dejian and Gai Lei.Fault detection of HVDC system based on wavelet transform[J].Foreign Electronic Measurement Technology,2017,36(2):37-40.
Authors:Wang Jinyu  Zhao Yuejiao  Kong Dejian and Gai Lei
Affiliation:School of Electrical Engineering and Information, Northeast Petroleum University, Daqing 163318,China,School of Electrical Engineering and Information, Northeast Petroleum University, Daqing 163318,China,State Grid North Hebei Electric Power Company Limited maintenance branch2,Beijing 102488,China and School of Electrical Engineering and Information, Northeast Petroleum University, Daqing 163318,China
Abstract:The maximum value of the absolute value of the four layer wavelet coefficient can be used to distinguish the DC fault and the AC fault. By modeling the HVDC system, several common faults are illustrated and simulated using the MATLAB wavelet toolbox. The fault types are identified by observing the discrete wavelet analysis of the 4 layer reverse traveling wave voltage during different faults, and the DC faults and AC fault types are distinguished. Simulation results show the practicability of wavelet transform.
Keywords:HVDC  wavelet analysis  fault detection  reverse traveling wave voltage  traveling wave
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