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Scheduling of Power Generation : A Large-Scale Mixed-Variable Model / by András Prékopa, János Mayer, Beáta Strazicky, István Deák, János Hoffer, Ágoston Németh, Béla Potecz
(Springer Series in Operations Research and Financial Engineering. ISSN:21971773)
版 | 1st ed. 2014. |
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出版者 | Cham : Springer International Publishing : Imprint: Springer |
出版年 | 2014 |
本文言語 | 英語 |
大きさ | XI, 139 p. 26 illus : online resource |
著者標目 | *Prékopa, András author Mayer, János author Strazicky, Beáta author Deák, István author Hoffer, János author Németh, Ágoston author Potecz, Béla author SpringerLink (Online service) |
件 名 | LCSH:Operations research LCSH:Management science LCSH:Industrial engineering LCSH:Production engineering LCSH:Mathematical optimization FREE:Operations Research, Management Science FREE:Industrial and Production Engineering FREE:Continuous Optimization |
一般注記 | Control of electric power systems -- A general mathematical programming model for the scheduling of electric power generation -- Assumptions for model simplification -- The model obtained by taking into account the simplifying assumptions -- Daily scheduling -- Appendix: The transmission network of electric power systems The book contains description of a real life application of modern mathematical optimization tools in an important problem solution for power networks. The objective is the modelling and calculation of optimal daily scheduling of power generation, by thermal power plants, to satisfy all demands at minimum cost, in such a way that the generation and transmission capacities as well as the demands at the nodes of the system appear in an integrated form. The physical parameters of the network are also taken into account. The obtained large-scale mixed variable problem is relaxed in a smart, practical way, to allow for fast numerical solution of the problem HTTP:URL=https://doi.org/10.1007/978-3-319-07815-1 |
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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783319078151 |
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EB00239163 |
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データ種別 | 電子ブック |
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分 類 | LCC:T57.6-57.97 LCC:T55.4-60.8 DC23:003 |
書誌ID | 4000115027 |
ISBN | 9783319078151 |
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※2017年9月4日以降