Metaheuristic Optimization in Power Engineering: Distribution systems using MATLAB®-based software (Energy Engineering)
Author: Jordan Radosavljević (Author)
Publisher finelybook 出版社: The Institution of Engineering and Technology
Edition 版本: 2nd
Publication Date 出版日期: 2024-10-15
Language 语言: English
Print Length 页数: 325 pages
ISBN-10: 1837241317
ISBN-13: 9781837241316
Book Description
A metaheuristic is a higher-level procedure designed to find, generate, or select a heuristic or partial search algorithm that may provide a sufficiently good solution to an optimization problem with incomplete or imperfect information or limited computation capacity. Metaheuristics can often find good solutions with less computational effort than other algorithms. Modern and emerging power systems, with the growing complexity of distributed and intermittent generation and EV charging, are an application for such methods.
The new edition of Metaheuristic Optimization in Power Engineering in two volumes uses a MATLAB-based software package for testing and comparing methods, and includes several new and substantially revised and updated chapters.
Volume 1 covers principles and key algorithms, such as genetic and swarm algorithms, gravitational and metaheuristic algorithms, power flow and power dispatch under consideration of renewable generation.
Volume 2 focuses on power distribution networks, including power flow, voltage control and regulation, optimisation of generation placement and sizing, and state estimation analysis.
This reference for researchers and advanced students working on power system analysis and optimization offers an overview of metaheuristic optimization approaches to solving problems in modern power systems.
About the Author
Jordan Radosavljević is professor at and dean of the Faculty of Technical Sciences of the University of Priština in Kosovska Mitrovica, Serbia. His research interests include power system analysis and control, power system optimization with renewable energy and distributed generation, and the application of metaheuristic optimization algorithms. He was involved in international projects on energy markets, engineering education, and low carbon economy.
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