A Review of Emerging Techniques for Power Quality Improvement in Renewable Energy Integration

Department of EEE, CVR College of Engineering, Hyderabad, India

^* Corresponding author: shravanic2@gmail.com

Abstract

The growing integration of renewable energy sources (RES) into power grids presents significant challenges to maintaining power quality (PQ) due to the inherent variability and intermittency of these energy resources. This paper provides a comprehensive review of emerging techniques aimed at improving power quality in systems with high levels of renewable energy integration. It examines state-of-the-art methods, including advanced control strategies, innovative compensation devices, and the latest developments in power electronic interfaces. Special emphasis is placed on the role of modern technologies, such as artificial intelligence (AI) and machine learning (ML), in enhancing the adaptability and robustness of PQ solutions. The effectiveness and limitations of various approaches, including the use of Flexible AC Transmission Systems (FACTS), Unified Power Quality Conditioners (UPQC), and dynamic voltage restorers (DVR), are critically analysed. Additionally, this review explores the integration of smart grid concepts and the deployment of energy storage systems as complementary measures to mitigate PQ issues. Future research directions are outlined, highlighting the need for further advancements in real-time monitoring, adaptive algorithms, and hybrid systems that combine multiple techniques for optimal performance. This review serves as a valuable resource for researchers, engineers, and policymakers seeking to understand and address the power quality challenges associated with renewable energy integration in modern and future power systems.