LAPSE:2020.0114
Published Article
LAPSE:2020.0114
Novel Detection Method for Consecutive DC Commutation Failure Based on Daubechies Wavelet with 2nd-Order Vanishing Moments
Tao Lin, Ziyu Guo, Liyong Wang, Rusi Chen, Ruyu Bi
January 23, 2020
Accurate detection and effective control strategy of commutation failure (CF) of high voltage direct current (HVDC) are of great significance for keeping the safe and stable operations of the hybrid power grid. At first, a novel detection method for consecutive CF is proposed. Concretely, the 2nd and higher orders’ derivative values of direct current are summarized as the core to judge CF by analyzing the physical characteristics of the direct current waveform of the converter station in CF. Then, the Daubechies wavelet coefficient that can represent the 2nd and higher order derivative values of direct current is derived. Once the wavelet coefficients of the sampling points are detected to exceed the threshold, the occurrence of CF is confirmed. Furthermore, by instantly increasing advanced firing angle β in the inverter side, an additional emergency control strategy to prevent subsequent CF is proposed. Eventually, with simulations of the benchmark model, the effectiveness and superiorities of the proposed detection method and additional control strategy in accuracy and rapidity are verified.
Keywords
2nd-order vanishing moments, consecutive commutation failure, Daubechies wavelet, HVDC, wavelet coefficient
Suggested Citation
Lin T, Guo Z, Wang L, Chen R, Bi R. Novel Detection Method for Consecutive DC Commutation Failure Based on Daubechies Wavelet with 2nd-Order Vanishing Moments. (2020). LAPSE:2020.0114
Author Affiliations
Lin T: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Guo Z: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Wang L: State Grid Beijing Electric Power Company, Beijing 100031, China
Chen R: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
Bi R: School of Electrical Engineering, Wuhan University, Wuhan 430072, China
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Journal Name
Energies
Volume
11
Issue
2
Article Number
E261
Year
2018
Publication Date
2018-01-23
Published Version
ISSN
1996-1073
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PII: en11020261, Publication Type: Journal Article
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LAPSE:2020.0114
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doi:10.3390/en11020261
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Jan 23, 2020
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Jan 23, 2020
 
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Calvin Tsay
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