A Comprehensive Review on Metaheuristic Optimization Methods for Efficient Power System Operation

Optimization is a vital practice to achieve the best possible outcomes by modeling systems to meet management and technical requirements. However, traditional optimization approaches may fall short in scenarios with incomplete or insufficient data. In such cases, metaheuristic algorithms offer a promising solution by providing satisfactory results. These algorithms have gained significant attention in the electricity system domain, as evidenced by the growing number of articles documenting their successful application in academic literature. This article presents a comprehensive overview of metaheuristic methods for addressing optimization issues in power systems. It explores the most prevalent metaheuristic optimization approaches and their practical application in solving power system optimization problems. Additionally, it highlights common misconceptions found in the existing literature and provides practical suggestions for developing effective strategies to apply metaheuristic algorithms in tackling power system challenges. By shedding light on the capabilities and potential of metaheuristic algorithms, this article aims to foster further advancements in the field of power system optimization.