Overview
- Is the first book since the early 2000s to focus on emerging trends in UC problems
- Focuses on stochastic programming models and advanced techniques to handle large numbers of integer decision variables due to scenario propagation
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Energy (BRIEFSENERGY)
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Table of contents (3 chapters)
Keywords
About this book
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-the-art modeling as well as solution algorithms and highlighting stochastic models and mixed-integer programming techniques.
The UC problems are mostly formulated as mixed-integer linear programs, although there are many variants. A number of algorithms have been developed for, or applied to, UC problems, including dynamic programming, Lagrangian relaxation, general mixed-integer programming algorithms, and Benders decomposition. In addition the book discusses the recent trends in solving UC problems, especially stochastic programming models, and advanced techniques to handle large numbers of integer- decision variables due to scenario propagation
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Authors and Affiliations
Bibliographic Information
Book Title: Electrical Power Unit Commitment
Book Subtitle: Deterministic and Two-Stage Stochastic Programming Models and Algorithms
Authors: Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng
Series Title: SpringerBriefs in Energy
DOI: https://doi.org/10.1007/978-1-4939-6768-1
Publisher: Springer New York, NY
eBook Packages: Energy, Energy (R0)
Copyright Information: The Author(s) 2017
Softcover ISBN: 978-1-4939-6766-7Published: 13 January 2017
eBook ISBN: 978-1-4939-6768-1Published: 13 January 2017
Series ISSN: 2191-5520
Series E-ISSN: 2191-5539
Edition Number: 1
Number of Pages: VIII, 93
Number of Illustrations: 8 b/w illustrations, 16 illustrations in colour
Topics: Energy Policy, Economics and Management, Power Electronics, Electrical Machines and Networks, Energy Systems, Operations Research, Management Science