The Power Quality Monitoring Method of Intelligent Power Distribution Cabinet

Abstract

Abstract To improve the authenticity of reconstructed signals in power quality disturbance detection, an improved wavelet denoising method based on a coquantum-particle swarm is proposed to solve the problem that parameters in the traditional wavelet function are not easy to obtain, and a power quality disturbance detection framework is constructed. Simulation analysis verifies that the proposed method can effectively improve the disturbance detection performance compared with the traditional method. The reconstructed signal is closer to the original signal, which verifies the effectiveness of the proposed method.