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Electrical Power Unit Commitment : Deterministic and Two-stage Stochastic Programming Models and

Electrical Power Unit Commitment : Deterministic and Two-stage Stochastic Programming Models and - image 1 of 1

About this item

This entry into the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. This book updates texts written in the late 1990s and early 2000s by including both basics of UC models and state-of-the-art models and solution algorithms, where stochastic models and mixed integer programming techniques are emphasized
The UC problems are mostly formulated as mixed integer linear programs, although there are many variants. Some of the varieties of algorithms have been developed for or applied to UC problems include dynamic programming, Lagrangian relaxation, general mixed integer programming algorithms, and Benders decomposition. This book also 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.
Genre: Business + Money Management, Technology
Series Title: Springerbriefs in Energy
Format: Paperback
Publisher: Textstream
Author: Yuping Huang & Panos M. Pardalos & Qipeng P. Zheng
Language: English
Street Date: February 18, 2017
TCIN: 51838573
UPC: 9781493967667
Item Number (DPCI): 248-35-3364
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