Electrical Power Unit Commitment

Deterministic and Two-Stage Stochastic Programming Models and Algorithms

Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng (Autoren)

Buch | Softcover

93 Seiten

2017 | 1st ed. 2017
Springer-Verlag New York Inc.
978-1-4939-6766-7 (ISBN)

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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.

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

Introduction.- Deterministic Unit Commitment Models and Algorithms.- Two-Stage Stochastic Programming Models and Algorithms.- Nomenclature.- Renewable Energy Scenario Generation.

“A short, carefully written and accessible text, despite the mathematical complexity, the reader is provided with a comprehensive view of the problem allowing to quickly reach know-how in the handling of various models and algorithms aiming to formulate and reach solutions for it. Obviously interesting for both academics and practitioners in energy production and planning domains.” ( Manuel Alberto M. Ferreira, Acta Scientiae et Intellectus, Vol. 4 (04), 2018)

Erscheinungsdatum	02.02.2017
Reihe/Serie	SpringerBriefs in Energy
Zusatzinfo	16 Illustrations, color; 8 Illustrations, black and white; VIII, 93 p. 24 illus., 16 illus. in color.
Verlagsort	New York
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Algorithmen
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
	Technik ► Elektrotechnik / Energietechnik
	Wirtschaft ► Betriebswirtschaft / Management
ISBN-10	1-4939-6766-5 / 1493967665
ISBN-13	978-1-4939-6766-7 / 9781493967667
Zustand	Neuware