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Titlebook: Electrical Power Unit Commitment; Deterministic and Tw Yuping Huang,Panos M. Pardalos,Qipeng P. Zheng Book 2017 The Author(s) 2017 Electric

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發(fā)表于 2025-3-21 19:47:28 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Electrical Power Unit Commitment
副標(biāo)題Deterministic and Tw
編輯Yuping Huang,Panos M. Pardalos,Qipeng P. Zheng
視頻videohttp://file.papertrans.cn/306/305746/305746.mp4
概述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 variable
叢書名稱SpringerBriefs in Energy
圖書封面Titlebook: Electrical Power Unit Commitment; Deterministic and Tw Yuping Huang,Panos M. Pardalos,Qipeng P. Zheng Book 2017 The Author(s) 2017 Electric
描述.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.
出版日期Book 2017
關(guān)鍵詞Electrical Power Unit Commitment; Mixed Integer Programming; Network-based UC Models; Stochastic UC Mod
版次1
doihttps://doi.org/10.1007/978-1-4939-6768-1
isbn_softcover978-1-4939-6766-7
isbn_ebook978-1-4939-6768-1Series ISSN 2191-5520 Series E-ISSN 2191-5539
issn_series 2191-5520
copyrightThe Author(s) 2017
The information of publication is updating

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Introduction,y grids that are managed by Independent System Operators (ISOs) and Regional Transmission Organization (RTOs). As the three main components of electric power system, generation, transmission and distribution construct a multi-level network connecting initial energy supplies with end users for daily uses of electrical power.
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Two-Stage Stochastic Programming Models and Algorithms, stochastic programming to build UC models incorporating system’s uncertainties. Also, several commonly used algorithms are introduced because they achieve better computational performance to deal with the large-scale real world problems. Their features and uses in practice are included for reader’s comparisons.
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發(fā)表于 2025-3-22 20:12:42 | 只看該作者
Deterministic Unit Commitment Models and Algorithms,e the deterministic unit commitment problems, especially using Lagrangian Relaxation and Benders’ Decomposition. The SCUC cases are provided to illustrate the UC modeling and decomposition processes. All formulation notations are listed in Appendix B for reference.
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發(fā)表于 2025-3-22 21:21:45 | 只看該作者
Book 2017ates 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 progr
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