Modeling, Optimization and Intelligent Control Techniques...

Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems: An Optimal Integration Of Renewable Energy Resources Into Grid

Moussa Labbadi, Kamal Elyaalaoui, Loubna Bousselamti, Mohammed Ouassaid, Mohamed Cherkaoui
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The present book Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems—An Optimal Integration Of Renewable Energy Resources Into Grid publishes a good work in the field of renewable energy and control, presented in an informal and high-quality manner. The book’s content is fascinating and appealing because it covers a wide range of technologies and control techniques, such as advanced robust control, intelligent control methods, wind farm, fractional-order controllers, algorithm optimizations, PV-CSP
hybridization, thermal energy storage, dispatching strategy, modeling, mono-objective optimization and multi-objective optimization.
The goal is to include the theory, applications and perspectives on current and future advancements in renewable energy control and optimization, variable converters and related domains, as well as the paradigms and methodologies that underpin them.
The chapters in this book are written for graduate students, researchers, educators, engineers and scientists who need to know about mathematical analysis theories, methods and applications. This book provides two parts. It has a total of 11 chapters, which are organized as follows: the first part focuses on applications of control theory on wind turbine and comprises six chapters.
Jahr:
2022
Verlag:
Springer
Sprache:
english
Seiten:
243
ISBN 10:
3030987361
ISBN 13:
9783030987367
Serien:
Studies in Systems, Decision and Control, 434
Datei:
PDF, 11.36 MB
IPFS:
CID , CID Blake2b
english, 2022
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