Fault Diagnosis for VSC-HVDC Using Wavelet Transform

被引：0
|
作者：
Sun Xiaoyun [1 ]
Tong Xiangqian [2 ]
Yin Jun [2 ]
机构：
[1] Xian Univ Sci & Technol, Xian Univ Technol, Xian, Peoples R China
[2] Xian Univ Technol, Xian, Peoples R China
来源：
2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2012年
关键词：
voltage source converter; VSC-HVDC; fault diagnose;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
VSC-HVDC is a kind of HVDC technology which based on voltage source converter and turn-off devices. Its poor over voltage/current capacity are prone to failure. Based on the established VSC-HVDC system simulation model, the DC voltage waveforms under various fault conditions are achieved, and then the character of system fault is decided according to the amplitude fluctuation range of DC voltage. Moreover, in full consideration of influence of transmission power, the wavelet analysis method is adopted to extract the feature of faulty signal, and combined with artificial neural network the system fault is identified. Simulation results show that this method can diagnose and identify VSC-HVDC fault effectively, and the accuracy is not impacted by transmission power.
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页数：4
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