NDLI: Diagnosis of commutation failure in HVDC systems based on wavelet transforms

Content Provider	IEEE Xplore Digital Library
Author	Qing Zhong Yao Zhang Lingxue Lin
Copyright Year	2008
Description	Author affiliation: Electr. Eng. Coll., South China Univ. of Technol., Guangzhou (Qing Zhong; Yao Zhang; Lingxue Lin)
Abstract	Fast diagnosis of commutation failure in HVDC systems can improve the level of operation in the power systems. It is also the base to realize the prevention of commutation failure. By application of wavelet transform, the rapidity and correctness of faults diagnosing are enhanced. AC voltage and DC voltage in inverter side are taken as the signals for wavelet analysis. Wavelet coefficient d6 changed suddenly when fault occurred. This paper studied a diagnosing method based on the variance of wavelet coefficient d6. With moving sample windows, the sampling signals in the windows are analyzed with wavelet and the variance of wavelet coefficient d6 in real time. Therefore, the fault diagnoses are realized in real-time. The functions are realized in MATLAB/Simulink. The results of simulations show that the method can output the alarm signals after about half cycle when fault occurred. It can also tell out the AC fault without CF and DC line fault with CF fault. Above all, the diagnosing method using wavelet analysis ameliorates the rapidity and correctness of faults diagnosing.
Starting Page	1712
Ending Page	1717
File Size	916334
Page Count	6
File Format	PDF
ISBN	9787900714138
DOI	10.1109/DRPT.2008.4523682
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	DRPT
Subject Keyword	HVDC transmission Wavelet transforms Wavelet analysis Wavelet coefficients Voltage Signal analysis Power system analysis computing Power system faults Inverters Sampling methods Wavelet Transforms Commutation failure fault diagnosis HVDC
Content Type	Text
Resource Type	Article

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