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Electrical power unit commitment = d...

Huang, Yuping.

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Electrical power unit commitment = deterministic and two-stage stochastic programming models and algorithms /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Electrical power unit commitment/ by Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng.
其他題名:	deterministic and two-stage stochastic programming models and algorithms /
作者:	Huang, Yuping.
其他作者:	Pardalos, Panos M.
出版者:	Boston, MA :Springer US : : 2017.,
面頁冊數:	viii, 93 p. :ill., digital ;24 cm.
內容註:	Introduction -- Deterministic Unit Commitment Models and Algorithms -- Two-Stage Stochastic Programming Models and Algorithms -- Nomenclature -- Renewable Energy Scenario Generation.
Contained By:	Springer eBooks
標題:	Electric power - Mathematical models. -
電子資源:	http://dx.doi.org/10.1007/978-1-4939-6768-1
ISBN:	9781493967681

Electrical power unit commitment = deterministic and two-stage stochastic programming models and algorithms /
Huang, Yuping.

Electrical power unit commitmentdeterministic and two-stage stochastic programming models and algorithms /[electronic resource] :by Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng. - Boston, MA :Springer US :2017. - viii, 93 p. :ill., digital ;24 cm. - SpringerBriefs in energy,2191-5520. - SpringerBriefs in energy..

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

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.

ISBN: 9781493967681

Standard No.: 10.1007/978-1-4939-6768-1doiSubjects--Topical Terms:

3220508
Electric power
--Mathematical models.

LC Class. No.: TK1005

Dewey Class. No.: 621.042

Electrical power unit commitment = deterministic and two-stage stochastic programming models and algorithms /
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