Electrical Power Unit Commitment Deterministic and Two-Stage Stochas
This volume in the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. It updates texts written in the late 1990s and early 2000s by including the fundamentals of both UC and state-of
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Yuping Huang Panos M. Pardalos Qipeng P. Zheng
Electrical Power Unit Commitment Deterministic and Two-Stage Stochastic Programming Models and Algorithms 123
SpringerBriefs in Energy
More information about this series at http://www.springer.com/series/8903
Yuping Huang Panos M. Pardalos Qipeng P. Zheng •
Electrical Power Unit Commitment Deterministic and Two-Stage Stochastic Programming Models and Algorithms
123
Yuping Huang Department of Industrial Engineering and Management Systems University of Central Florida Orlando, FL USA
Qipeng P. Zheng Department of Industrial Engineering and Management Systems University of Central Florida Orlando, FL USA
Panos M. Pardalos Department of Industrial and Systems Engineering University of Florida Gainesville, FL USA
ISSN 2191-5520 SpringerBriefs in Energy ISBN 978-1-4939-6766-7 DOI 10.1007/978-1-4939-6768-1
ISSN 2191-5539
(electronic)
ISBN 978-1-4939-6768-1
(eBook)
Library of Congress Control Number: 2016960772 © The Author(s) 2017 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. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Science+Business Media LLC The registered company address is: 233 Spring Street, New York, NY 10013, U.S.A.
Preface
Electricity demand varies during each day and each week due to the cycling pattern of our life. In addition, electricity is an instantaneously perishable commodity and still cannot be efficiently stored in bulk. These facts raise an interesting question for electrical power generation: how to meet the time varying demands in the most economical way. To answer this question, a great amount of research efforts have been devoted to the Unit Commitment (UC) problem, which aims to optimally schedule the “on” and “off” statuses and power dispatches of electrical power generating units while considering multiple technical and economic constraints. The UC problems are mostly formulated as mixed integer linear programs. Based
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