基于小波变换和傅里叶分解的 1000kV 特高压输电系统故障录波特征识别方法研究

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关键词：特高压输电系统；故障录波；小波变换；傅里叶分解;故障特征识别中图分类号：TM743 文献标志码：A 文章编号：1003-5168(2025)20-0015-04DOI: 10.19968/j.cnki.hnkj.1003-5168.2025.20.003

Research on Identification of 1000kV UltraHigh Voltage Fault CharacteristicsBasedonRecordedWaveData

YE Xiancheng (State GridFujian Electric PowerCo.,Ltd.,UltraHigh VoltageBranch,Fuzhou 35OOO1,China）

Abstract:[Purposes] To addressthe complexity offault feature recognition in 1OookV ultra-high voltage transmission systems,a method for identifying fault features in ultra-high voltage systems is studied. [Methods] Through in-depth analysis of fault waveform data,a combination of wavelet transform and Fourierdecomposition is used to construct a model for identifying fault features in ultra-high voltage systems.[Findings] There is asignificant correlation between thevoltage and current transients in the recorded data and the type of fault.The fault feature recognition system developed based on this has an accuracy rate of over 95% in practical applications,and can effectively identify various fault types including winding turn to turn short circuits,lightning strikes,and series capacitor faults.[Conclusions] This fault feature recognition method provides important technical support for the safe and stable operation of ultra-high voltage power grids.

Keywords: ultra-high voltage transmisson system;fault recording; wavelet transform;fourier decomposition; fault feature recognition

0 引言

特高压输电线路的安全稳定运行面临着前所未有的挑战，而故障特征识别作为保障特高压系统可靠运行的关键技术，其重要性日益凸显。（剩余5864字）