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Metaheuristic Optimization in Power Engineering: Algorithms and power dispatch using MATLAB®-based software (Volume 1) (Energy Engineering) - Hardcover

Radosavljević, Jordan

 
9781837241378: Metaheuristic Optimization in Power Engineering: Algorithms and power dispatch using MATLAB®-based software (Volume 1) (Energy Engineering)
Hardcover
ISBN 10: 1837241376 ISBN 13: 9781837241378
Publisher: Institution of Engineering and Technology, 2024

Synopsis

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.

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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.

"About this title" may belong to another edition of this title.

Publisher
Institution of Engineering and Technology
Publication date
2024
Language
English
ISBN 10 
1837241376
ISBN 13 
9781837241378
Binding
Hardcover
Edition number
2
Number of pages
365