Wind power plant fault detection method based on frequency change

Abstract

The invention relates to a wind power plant fault detection method based on power characteristics of a power system. The method comprises the following steps: analyzing and determining time sequence characteristics of frequency fluctuation of a power system under different fan permeability to obtain a change rule of power spectrum characteristics along with the fan permeability and change characteristics of power spectrum density of frequency under different fault scenes; then monitoring the frequency of the power system in real time, collecting a time sequence of the changed frequency and obtaining a power spectrum of the time sequence; and finally, performing feature extraction, analysis and comparison on the obtained time sequence and the power spectrum, judging which kind of fault is more likely to occur in the power system, and giving an alarm. The method comprehensively considers the different characteristics of the frequency in the time domain and the frequency domain when different faults occur under different fan permeability, has the advantages of high sensitivity, strong anti-interference capability and the like compared with other methods, eliminates the influence of noise and interference to a certain extent, and improves the accuracy and reliability of fault detection.

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