New Experimental Approach for Optimizing Electrical Power Quality Through Harmonic Pollution Control: The Case of a Hybrid Filter on Variable Electrical Networks

Abstract

The quality of electrical power on distribution networks depends heavily on the performance of the harmonic filtering method implemented according to the operating conditions of the system under study. This article proposes a new experimental approach that allows us to determine the dynamic behavior of the harmonic signature of the nonlinear load connected to the electrical network. The ultimate goal is to propose a new law for extracting the reference currents required during the overall online harmonic filtering process using a hybrid filter. This offers advantages in robustness and accuracy during variations in the electrical network compared to the classical methods used in the current literature. The methodological approach consists of selecting several nonlinear loads according to specific profiles and technical characteristics, then experimentally analyzing their harmonic signatures over time to obtain new models for extracting reference currents that will ultimately be faster to implement. In a decentralized global harmonic filtering strategy using a TLC adaptive hybrid filter compliant with the IEEE-519-2022 standard, the results obtained offer THD (total harmonic distortion) values of 1.88%, 3.29%, and 2.78% in three-phase currents, with a reduced DC voltage consumption of 105 V for the inverter. This contrasts with similar models in the current literature, which require input DC voltages exceeding 850 V for identical performance. This work therefore represents a major contribution to new models for extracting experimentally obtained reference currents, enabling the optimization of power quality on electrical networks through the use of a hybrid filter.