A Series DC Arcing Fault Recognition Method Based on Sliding Discrete Fourier Transform
Wang Yao1, Li Yang2, Ge Leijiao3, Niu Feng1, 4, Li Kui1
1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin 300130 China; 2. School of Electrical Engineering and Automation Tianjin Polytechnic University Tianjin 300387 China; 3. School of Electrical and Information Engineering Tianjin University Tianjin 300072 China; 4. School of Electrical Engineering Zhejiang University Hangzhou 310027 China
Abstract：Series DC arcing fault pose an extreme safety risk in DC power system because it is difficult to be detected. A sliding discrete fourier transform (DFT) based arcing fault recognition method is proposed to meet the requirement of real-time in detection and reduction in algorithm complexity. The arcing initiation stage is the best moment for fault detection based on analysis both in time domain and in frequency domain. Accordingly, three characteristic frequencies, 40 kHz, 80 kHz and 100 kHz, are selected for the point by point sliding DFT calculation. Moreover, a time-window of 200μs is used to implement the algorithm for simplicity and accuracy. Finally, it is concluded that all the three spectrums increase significantly during the arcing fault. And the sliding DFT algorithm can be applied for series DC arcing fault recognition.
王尧,李阳,葛磊蛟,牛峰,李奎. 基于滑动离散傅里叶变换的串联直流电弧故障识别[J]. 电工技术学报, 2017, 32(19): 118-124.
Wang Yao, Li Yang, Ge Leijiao, Niu Feng, Li Kui. A Series DC Arcing Fault Recognition Method Based on Sliding Discrete Fourier Transform. Transactions of China Electrotechnical Society, 2017, 32(19): 118-124.
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2017, Vol. 32 
