Robust Optimal Planning and Operation of Electrical Energy Systems
This book discusses the recent developments in robust optimization (RO) and information gap design theory (IGDT) methods and their application for the optimal planning and operation of electric energy systems. Chapters cover both theoretical background an
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obust Optimal Planning and Operation of Electrical Energy Systems
Robust Optimal Planning and Operation of Electrical Energy Systems
Behnam Mohammadi-ivatloo Morteza Nazari-Heris Editors
Robust Optimal Planning and Operation of Electrical Energy Systems
Editors Behnam Mohammadi-ivatloo Faculty of Electrical and Computer Engineering University of Tabriz Tabriz, Iran
Morteza Nazari-Heris Faculty of Electrical and Computer Engineering University of Tabriz Tabriz, Iran
ISBN 978-3-030-04295-0 ISBN 978-3-030-04296-7 https://doi.org/10.1007/978-3-030-04296-7
(eBook)
Library of Congress Control Number: 2018968118 © Springer Nature Switzerland AG 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 Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
Considering the existence of uncertain factors in electric energy systems, such as load variation, power market price, and power generation of renewable energy sources, the results provided by the conventional deterministic optimal planning and operation of electric energy systems are not confirmed to be optimal framework for future power system conditions. Accordingly, studying uncertainties associated with parameters of electric energy systems is of importance for obtaining more effective and promising solutions of planning and operation of electric energy systems. In traditional approaches, probabilistic methods, interval-based analysis, and hybrid probabilistic and possibilistic methods are implemented for handling uncertainties associated with power system parameters. Recently, robust optimization (RO) and information gap decision theory (IGDT) methods are introduced as effective tools for the solution of power system problems. The RO and IGDT methods lead to more effective solutions and
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