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Full Description
This monograph is a research compendium on the modelling, control, and optimization of electric power and energy systems using advanced computational methods and algorithms, such as genetic algorithms (GA) and particle swarm optimization (PSO).Intelligent Optimization in Electric Machines, Renewable Energy Systems, and Microgrids offers in-depth analyses of core components, including parameter estimation and energy-efficient control of induction machines, along with the modelling and maximum power point tracking (MPPT) of solar photovoltaic (PV) and wind energy systems. The book also covers modern techniques for fault detection in transmission lines, the optimization of hybrid renewable energy systems, and the planning and control of microgrids.Designed for power systems engineers, researchers, academics and students, this book offers the practical knowledge and advanced methodologies needed to address the most pressing challenges in a modern grid. It is an ideal textbook for graduate courses in electric power systems, renewable energy systems, and microgrid design, providing both theoretical foundations and real-world applications.



