Power Quality Improvement in Distributed Generation System

Abstract

The rapid proliferation of distributed generation (DG), particularly renewable energy-based sources such as photovoltaic and wind systems, has significantly transformed modern power distribution networks. While DG integration enhances system efficiency, reliability, and sustainability, it introduces critical challenges related to power quality due to the intermittent nature of generation, nonlinear loads, and widespread use of power electronic converters. This study presents a comprehensive analysis of power quality improvement in distributed generation systems, focusing on mitigation of disturbances such as voltage sag, swell, harmonic distortion, flicker, and unbalance. Advanced control strategies and custom power devices, including Distribution Static Compensator (DSTATCOM), Dynamic Voltage Restorer (DVR), Unified Power Quality Conditioner (UPQC), and Distributed Power Flow Controller (DPFC), are explored for effective power quality enhancement. Mathematical modelling and simulation-based evaluation are employed to analyze the dynamic performance of these devices under varying operating conditions. The study further investigates intelligent control approaches such as fuzzy logic, adaptive control, and machine learning techniques for real-time compensation and optimization. Results indicate that coordinated control of DG units and power conditioning devices significantly improves voltage regulation, reduces total harmonic distortion, and enhances system stability. The findings highlight the importance of integrated control frameworks and advanced technologies in ensuring reliable and high-quality power supply in modern distributed energy systems. This research contributes to the development of efficient strategies for maintaining power quality standards in increasingly decentralized and complex electrical networks.