Modeling, Identification and Control Methods in Renewable Energy Systems
Most of the research and experiments in the fields of modeling and control systems have spent significant efforts to find rules from various complicated phenomena by principles, observations, measured data, logic derivations. The rules are normally summar
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Nabil Derbel · Quanmin Zhu Editors
Modeling, Identification and Control Methods in Renewable Energy Systems
Green Energy and Technology
More information about this series at http://www.springer.com/series/8059
Nabil Derbel • Quanmin Zhu Editors
Modeling, Identification and Control Methods in Renewable Energy Systems
123
Editors Nabil Derbel Sfax Engineering School University of Sfax Sfax, Tunisia
Quanmin Zhu University of the West of England Bristol, UK
ISSN 1865-3529 ISSN 1865-3537 (electronic) Green Energy and Technology ISBN 978-981-13-1944-0 ISBN 978-981-13-1945-7 (eBook) https://doi.org/10.1007/978-981-13-1945-7 Library of Congress Control Number: 2018964938 © Springer Nature Singapore Pte Ltd. 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
This book entitled Modeling, Identification and Control Methods in Renewable Energy Systems consists of a representation of theoretical results related to renewable energy systems. It is not our intention to cover all renewable energy systems of recent control-related contributions, but the priority has been placed on the application of wind energy and solar energy with works related to their applications, such as vibration energy, converters, FPGA-based control, and MPPT techniques. Intelligent approaches such as fuzzy systems, neural networks, and genetic algorithm constitute powerful tools applied to the best work of these energy systems. This book is made of 17 invited chapters that have been written by leading researchers covering recent theoretical developments and applications of renewable energy systems. The book presents theoretical explorations on several fundamental problems for seve
