Multi-Objective Optimization Simulation of Unified Power Quality Conditioner (UPQC)

Abstract

This study proposes a multi-objective optimization approach for enhancing power system stability using a Unified Power Quality Conditioner (UPQC). The UPQC parameters and control strategies are optimized under various operating conditions and constraints using Pareto optimality and particle swarm optimization (PSO). MATLAB/Simulink simulations confirm the effectiveness of the proposed method in improving power quality and stability. The results show a substantial reduction in voltage total harmonic distortion (THD) at the point of common coupling (PCC), tight regulation of the load voltage within acceptable limits, significant power factor correction, and an optimized VA rating of the UPQC, while satisfying all optimization constraints. Sensitivity analysis reveals that UPQC performance is most sensitive to variations in source impedance and DC-link voltage. The proposed framework provides a systematic approach for the optimal planning and operation of UPQC systems in power distribution networks, enabling the best trade-offs among conflicting objectives such as voltage distortion, voltage regulation, power factor, and equipment rating. The optimization is carried out for different scenarios, including distorted grid conditions and VA rating limitations. The study underscores the importance of optimizing UPQC design and control against multiple criteria to maximize power quality improvement and voltage stability in modern distribution grids with increasing penetration of nonlinear loads and distributed generation.This study proposes a multi-objective optimization approach for enhancing power system stability using a Unified Power Quality Conditioner (UPQC). The UPQC parameters and control strategies are optimized under various operating conditions and constraints using Pareto optimality and particle swarm optimization (PSO). MATLAB/Simulink simulations confirm the effectiveness of the proposed method in improving power quality and stability. The results show a substantial reduction in voltage total harmonic distortion (THD) at the point of common coupling (PCC), tight regulation of the load voltage within acceptable limits, significant power factor correction, and an optimized VA rating of the UPQC, while satisfying all optimization constraints. Sensitivity analysis reveals that UPQC performance is most sensitive to variations in source impedance and DC-link voltage. The proposed framework provides a systematic approach for the optimal planning and operation of UPQC systems in power distribution networks, enabling the best trade-offs among conflicting objectives such as voltage distortion, voltage regulation, power factor, and equipment rating. The optimization is carried out for different scenarios, including distorted grid conditions and VA rating limitations. The study underscores the importance of optimizing UPQC design and control against multiple criteria to maximize power quality improvement and voltage stability in modern distribution grids with increasing penetration of nonlinear loads and distributed generation.