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基于小波能量谱和灰色综合关联度的HVDC换相失败故障诊断 被引量:13

Fault diagnosis of commutation failures in the HVDC system based on the wavelet energy spectrum and grey comprehensive relationship degree
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摘要 提出一种基于小波能量谱和灰色综合关联度的高压直流(HVDC)输电系统换相失败故障诊断新方法,采用小波能量谱量化故障特征,再根据灰色综合关联度分析来确定故障原因。根据熄弧角判断是否发生换相失败,对直流电流故障信号进行小波分析,获取各尺度下的小波变换系数,计算其小波能量谱;将得到的小波能量谱与故障参考序列进行灰色综合关联度分析,从而根据最大关联度原则确定故障原因。仿真表明,该方法能准确地诊断引发换相失败的故障原因。 Based on the wavelet energy spectrum (WES) and grey comprehensive relationship degree (GCRD), a new fault diagnosis method of commutation failures in the HVDC system is proposed, in which WES is used to quantify fault characteristics, and then the fault reasons are identified according to the GCRD analysis. First, it uses arc extinguishing angle to determine whether the commutation failures occur or not; then, the wavelet analysis of DC current fault signals is conducted to obtain the wavelet coefficients on every scale and calculate the WES; the obtained WES and the reference sequence of failures are analyzed based on GCRD analysis, and thus the fault reasons are identified according to the principle of maximum relationship degree. Simulation results show that the method can accurately diagnose commutation failures.
出处 《电力系统保护与控制》 EI CSCD 北大核心 2012年第3期85-89,共5页 Power System Protection and Control
关键词 小波能量谱 灰色综合关联度 换相失败 故障诊断 wavelet energy spectrum grey comprehensive relationship degree commutation failures fault diagnosis
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