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Electrical Power Unit Commitment de Yuping Huang

Electrical Power Unit Commitment

Autor Yuping Huang, Panos M Pardalos, Qipeng P Zheng
en Limba Engleză Paperback – 13 ian 2017
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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Specificații

ISBN-13: 9781493967667
ISBN-10: 1493967665
Pagini: 93
Ilustrații: VIII, 93 p. 24 illus., 16 illus. in color.
Dimensiuni: 156 x 238 x 10 mm
Greutate: 0.18 kg
Ediția:2017 edition
Editura: Springer Us
Locul publicării:New York, NY, United States

Cuprins

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

Recenzii

“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)

Textul de pe ultima copertă

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

Caracteristici

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