Enhancing the Power Quality of Distributed Power System Networks

This paper introduces a novel Power Quality Index (PQI) directly linked to the generation of distortion power from nonlinear harmonic loads, aiming to assess their harmonic pollution ranking within a distribution power system. The Electric Load Composition Rate (LCR) and Total Harmonic Distortion (THD) are estimated using the Reduced Multivariate Polynomial (RMP) model with a one-shot training property. Subsequently, the distortion power ranking for each nonlinear load, indicative of its adverse impact on the entire system, is determined. This ranking quantifies the negative effect each nonlinear load has on the point of common coupling concerning distortion power. The effectiveness and validity of the proposed PQI are confirmed through simulation results conducted via harmonic current injection model-based time-domain simulations, assessing its performance under varying conditions with different nonlinear loads.The proposed PQI is positioned as a valuable tool for monitoring and regulating power quality in distribution systems and residential settings. Its application in the domestic distribution power network is showcased as a means of implementing smart grid technology.