Overview
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 36)
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Table of contents(16 chapters)
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The Evolving Context for Unit Commitment Decisions
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New Features in Unit Commitment Models
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AlgorithmicAdvances
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Decentralized Decision Making
About this book
Because of the unit commitment problem's size and complexity and because of the large economic benefits that could result from its improved solution, considerable attention has been devoted to algorithm development in the book. More systematic procedures based on a variety of widely researched algorithms have been proposed and tested. These techniques have included dynamic programming, branch-and-bound mixed integer programming (MIP), linear and network programming approaches, and Benders decomposition methods, among others. Recently, metaheuristic methods have been tested, such as genetic programming and simulated annealing, along with expert systems and neural networks. Because electric markets are changing rapidly, how UC models are solved and what purposes they serve need reconsideration. Hence, the book brings together people who understand the problem and people who know what improvements in algorithms are really possible. The two-fold result in The Next Generation of Electric Power Unit Commitment Models is an assessment of industry needs and new formulations and computational approaches that promise to make unit commitment models more responsive to those needs.
Editors and Affiliations
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The Johns Hopkins University, USA
Benjamin F. Hobbs
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Rutgers University, USA
Michael H. Rothkopf
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Federal Energy Regulatory Commission, USA
Richard P. O’Neill
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Electric Power Research Institute, USA
Hung-po Chao
Bibliographic Information
Book Title: The Next Generation of Electric Power Unit Commitment Models
Editors: Benjamin F. Hobbs, Michael H. Rothkopf, Richard P. O’Neill, Hung-po Chao
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/b108628
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2001
Hardcover ISBN: 978-0-7923-7334-6Published: 30 April 2001
Softcover ISBN: 978-1-4757-7416-0Published: 17 March 2013
eBook ISBN: 978-0-306-47663-1Published: 11 April 2006
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: VIII, 320
Topics: Economics, general, Environmental Management, Energy Policy, Economics and Management, Environmental Economics, Atmospheric Protection/Air Quality Control/Air Pollution, Operations Research/Decision Theory