Electrical Power Unit Commitment - Deterministic and Two-Stage Stochastic Programming Models and Algorithms (Paperback, 1st ed. 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

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	SpringerBriefs in Energy
Release date:	2017
First published:	2017
Authors:	Yuping Huang • Panos M. Pardalos • Qipeng P. Zheng
Dimensions:	235 x 155 x 6mm (L x W x T)
Format:	Paperback
Pages:	93
Edition:	1st ed. 2017
ISBN-13:	978-1-4939-6766-7
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power networks, systems, stations & plants
LSN:	1-4939-6766-5
Barcode:	9781493967667

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