Harmonic detection method based on permutation entropy and variational modal decomposition optimized by genetic algorithm
Shuqing Zhang, Yun Zhang
Abstract
In order to accurately extract harmonic components in power signals, a harmonic detection method based on variational mode decomposition (VMD) optimized by the genetic algorithm and permutation entropy is proposed. The genetic algorithm optimizes VMD, which can improve the difficulty of parameter selection of VMD. The combination of optimized VMD and permutation entropy can simultaneously utilize the complete decomposition of VMD and the sensitivity to the time of permutation entropy and quickly and effectively filter out various interference signals of power systems. The simulation experiment and engineering application prove that compared with empirical mode decomposition and ensemble empirical mode decomposition harmonic detection methods, this method can effectively filter out noise under a low signal-to-noise ratio and achieve a higher harmonic detection accuracy.