A Fault Line Selection Method for DC Distribution Network Using Multiple Observers

Xipeng Zhang, Nengling Tai, Pan Wu, Xiaodong Zheng and Wentao Huang
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Xipeng Zhang: Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Nengling Tai: Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Pan Wu: Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Xiaodong Zheng: Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Wentao Huang: Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Energies, 2019, vol. 12, issue 7, 1-18

Abstract: This paper proposes a method of fault line selection for a DC distribution network. Firstly, the 1-mode current is calculated using the measured currents of the positive and the negative line. Then, it is time reversed and further decomposed by wavelet technology. Secondly, the lossless mirror line network is established according to the parameters and the topology of the DC distribution network. Thirdly, it is presumed that several virtual current sources are employed at the locations where the corresponding observers are, and the values of these current sources are equal to the processed 1-mode currents. Fourthly, a fault is placed at every point of the lossless mirror line network the RMS value of every assumed fault current is calculated. During this process, the phase coefficient of every lossless mirror line is set to vary along with the length of the line obeying Gaussian distribution. Finally, the line with the peak value of the RMS values of the currents is selected as the fault line. The result of fault line selection is updated using the fewest observers that are set in advance according to the initial result. A DC distribution network is simulated in PSCAD/EMDTC to verify the correctness of the proposed method.

Keywords: DC distribution network; lossless mirror line network; wavelet; variable phase coefficient; fault line selection; fewest observers (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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