An adaptive fault line selection method for distribution network

What is it about?

In this article, an adaptive fault line selection method based on atomic comprehensive measures for a distribution network is proposed. Firstly, wavelet denoising is introduced to remove the noise contained in the transient zero-sequence current; then, the matching pursuit algorithm is utilized to decompose the denoising transient zero-sequence current. Moreover, based on singular value decomposition and information entropy, the atomic singular entropy values are computed, and the actual energy of feature atoms are obtained. Furthermore, according to the fuzzy mathematics, the fault comprehensive measurement function is built. Finally, the line that has the maximum of the fault comprehensive measure value is chosen as the fault line. A large number of simulation experiments and comparing results proved that the proposed method has high selection accuracy and reliability, as well as a powerful ability to resist noise.

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Why is it important?

Power distribution systems are widespread and complicated, most of the 3 to 66 kV distribution networks are so-called small current grounding systems. Generally speaking, the small current grounding system concludes the unearthed neutral system: the arc suppression coil compensated neutral system and the high-resistance grounded neutral system. Data have shown that most faults occur in a distribution network in the single-phase to ground fault. When a single-phase to ground fault occurs, the line voltage value is still symmetrical whereas the fault current gets weak, it is difficult to propose a reliable fault line selection method; therefore, it is necessary and significant to study in this area.

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