A Concise Review on Applications of Bioinspired Algorithms in Electrical Power System

Abstract

The integration of bioinspired algorithms into electrical power systems has gained significant attention in recent years due to their potential to address complex optimization and control problems. This paper presents a concise review on the applications of bioinspired algorithms in various aspects of electrical power systems, including power generation, transmission, distribution, and utilization. The review starts with an overview on electrical power system and then discusses the fundamental concepts of bioinspired algorithms. Next, the paper explores the application of bioinspired algorithms in power generation. It examines their use in optimizing the operation and scheduling of power plants, maximizing renewable energy integration, and improving the efficiency of power generation processes. Moving on to power transmission and distribution, the review discusses how bioinspired algorithms can be applied to optimize the routing and scheduling of power flows, enhance fault detection and diagnosis, and improve the reliability and security of the grid infrastructure. Furthermore, the utilization of bioinspired algorithms in power systems is explored, focusing on load forecasting, demand response, energy management, and power quality enhancement. Finally, the paper concludes with a summary of the main findings and future research directions. It emphasizes the need for further exploration of bioinspired algorithms in electrical power systems, including the development of hybrid algorithms and their integration with emerging technologies such as machine learning and big data analytics.