Transactions of China Electrotechnical Society  2017, Vol. 32 Issue (23): 140-148    DOI: 10.19595/j.cnki.1000-6753.tces.170104
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Transmission Line Fault Location Method Based on Compressed Sensing Estimation of Traveling Wave Natural Frequencies
Yu Huanan1, Ma Congcong1, Wang He2
1. School of Information Engineering Northeast Dianli University Jilin 132012 China;
2. School of Electrical Engineering Northeast Dianli University Jilin 132012 China

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Abstract  In this paper, a fault location method for transmission lines based on compressed sensing is proposed, it can precisely estimate the natural frequencies of multiple traveling waves with high accuracy of fault location. According to the frequency domain characteristics of the fault traveling wave signal, a new over-complete dictionary is designed to make the traveling wave signal sparse. When fault location is performing, use wavelet modulus maxima method to determine the boundary frequency of fault signals first, then use FIR filter to filter out low frequency interference and transform into the frequency domain to ensure it is in the over-complete dictionary sparse representation. On this basis, a modified OMP algorithm based on Dice coefficients (DOMP algorithm) is used to reconstruct a frequency domain signal of traveling waves and accurately identifies the natural frequency values of the traveling wave signal. Finally combine the reflection angle and the wave velocity to achieve accurate fault location. The simulation results show that the method of dictionary design combined with DOMP algorithm have high location accuracy and reliability.
Key wordsCompressed sensing      traveling wave natural frequency      over-complete dictionary      Dice coefficients      OMP algorithm      fault location     
Received: 23 January 2017      Published: 22 December 2017
PACS: TM77  
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Cite this article:   
Yu Huanan,Ma Congcong,Wang He. Transmission Line Fault Location Method Based on Compressed Sensing Estimation of Traveling Wave Natural Frequencies[J]. Transactions of China Electrotechnical Society, 2017, 32(23): 140-148.
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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.170104     OR     https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I23/140
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