Lightning Fault Identification of Overhead Line Based on KL-VMD
When the overhead line is struck by lightning,there is abundant fault information in the fault traveling wave.It is the core of fault recognition to extract and classify the characteristic from the tran-sient component.There are some problems such as modal aliasing and optimal wavelet bases in the process of extraction.The distance of lightning stroke and the difference between lightning point and short circuit point also affect the recognition effect.In order to solve these problems,the author presents a method of lightning fault identification based on Kullback-Leibler divergence and Variational Mode decomposition (VMD).A 220 kV overhead transmission line model is built according to the actual fault,and the simulation of the shielding,flashover and short circuit scenarios is carried out,the zero-mode voltage and its rate of change are decomposed by KL-VMD,and the lightning stroke identification criterion is constructed according to the different transient energy ratio.The research results show that the criterion can accurately identify the breakdown,reaction and short-circuit fault,verifying the effective-ness of the improved VMD algorithm and the accuracy of the criterion recognition.
traveling waveKL divergencevariational mode decompositionzero-mode voltage
万方数据
维普
