Improving Power Quality with Intelligent Control in Electrical Energy Systems

Abstract

As the proliferation of sensitive electronic devices continues, the importance of maintaining high power quality in energy systems has become increasingly critical. Electrical disturbances within the energy system can lead to both technical and financial damages and can degrade the quality of power supplied. The Unified Power Quality Conditioner (UPQC) has emerged as a highly effective solution to mitigate these dilemmas. Key factors affecting power quality include voltage sags, swells, harmonics, non-linear loads, unbalanced loads, and voltage stability dilemmas. To address these challenges, a new intelligent control system based on a TS-fuzzy algorithm is proposed. This system is designed to enhance power quality by effectively managing various disturbances. The proposed controller's performance is evaluated through simulations using MATLAB/Simulink software, focusing on conditions such as voltage sags, swells, nonlinear loads, and unbalanced loads. Compared to a traditional Proportional Integral (PI) controller, the TS-fuzzy algorithm significantly reduces total harmonic distortion (THD) and stabilizes DC bus voltage. The proposed controller achieves THD levels of 2.43% for nonlinear loads and 1.6% for unbalanced loads, demonstrating superior performance over conventional methods.