Boosting Power Quality: Proven Strategies for Harmonic Mitigation in Electrical Power Systems

Abstract

Introduction: The growing presence of nonlinear loads and power electronic components in today’s electrical grids has significantly intensified harmonic distortion, creating serious concerns for power quality, system dependability, and operational performance. This review paper offers a thorough examination of the sources, consequences, and mitigation methods related to harmonics in power systems. It starts by identifying major contributors to harmonic generation—such as variable frequency drives, inverter-based technologies, and distributed energy resources—and explains their negative impacts on equipment efficiency, system stability, and the coordination of protective mechanisms.
The paper then delves into both conventional and advanced harmonic mitigation methods, consisting of active power filters (APFs), passive filters, hybrid systems, and modern control methods like virtual impedance and droop control. It emphasizes the growing role of smart grid infrastructure and artificial intelligence in enabling real-time harmonic detection, adaptive filtering, and predictive maintenance. Additionally, it explores recent innovations in Flexible AC Transmission Systems (FACTS) and IoT-based solutions, highlighting their potential in shaping the future of harmonic management.
Objectives: The primary objective is to explore and evaluate established and emerging strategies for reducing harmonic content in electrical systems. The methodology involves a systematic review of literature, technical reports, and case studies focusing on various mitigation methods, consisting of active power filters (APFs), passive filters, hybrid configurations, and advanced control algorithms.
Methods: A comprehensive literature review was conducted, covering academic research, industrial case studies, and technical standards. The paper categorizes mitigation methods, consisting of active power filters (APFs), passive filters, hybrid filters, and advanced control-based solutions. Each method is evaluated based on its design principles, operational characteristics, and suitability for different system conditions.
Results: The analysis reveals that passive filters are effective for fixed-frequency harmonics and are cost-efficient, but they lack adaptability. Active power filters offer dynamic compensation and are suitable for varying load conditions, though they require complex control systems and higher investment. Hybrid filters combine the strengths of both passive and active approaches, providing a balanced solution. Emerging technologies, such as smart grid-based harmonic control and AI-driven optimization, show promising results in real-time harmonic suppression and system adaptability.
Conclusions: Harmonic mitigation is vital for sustaining high power quality in modern electrical systems. Choosing the right strategy depends on different factors such as system size, load variability, cost constraints, and desired performance. This review provides a structured understanding of available techniques, helping engineers and researchers make informed decisions to improve power system reliability and efficiency.