このページのリンク

<電子ブック>
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)

1st ed. 2014.
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
目次/あらすじ

所蔵情報を非表示

電子ブック オンライン 電子ブック

Springer eBooks 9783319078151
電子リソース
EB00228698

書誌詳細を非表示

データ種別 電子ブック
分 類 LCC:T57.6-57.97
LCC:T55.4-60.8
DC23:003
書誌ID 4000115027
ISBN 9783319078151

 類似資料