Low-voltage series arc fault identification method based on multi-frequency electrical quantity amplitude-phase combination

Abstract

The present application belongs to the technical field of fault identification, and particularly relates to a low-voltage series arc fault identification method based on multi-frequency electrical quantity amplitude-phase combination. The steps include: each downstream monitoring point real-time monitors the voltage waveform distortion rate of adjacent cycles, and judges whether it is greater than or equal to the set distortion rate threshold; if yes, the fault detection algorithm is started; the voltage data of the downstream monitoring point and the corresponding upstream monitoring point are aligned asynchronously and in phase, differentiated to obtain the differential voltage, low-pass filtered, and the voltage characteristic energy is calculated; the minimum point of the voltage characteristic energy is obtained, the voltage energy peak values in the left and right windows are obtained and the corresponding phases are calculated; the peak threshold and the fault sensitive domain are determined, and the counting accumulation is performed; if the counting accumulation exceeds the counting threshold, it is determined as a fault. The present application can improve the sensitivity, accuracy and anti-interference ability of the power grid side fault detection.

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