Scheduling of Power Generation A Large-Scale Mixed-Variable Model
Language: English
Published by Springer, 2014
Series: Book 27 of 43 - Springer Series in Operations Research and Financial Engineering
- Hardcover
- New
Condition: New
£ 57.52
Quantity: 2 available
Add to basketItem description from seller
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. Sprache: Englisch Gewicht in Gramm: 349.
Seller Inventory # IB-364668
- Title
- Scheduling of Power Generation A Large-Scale Mixed-Variable Model
- Author
- ?goston N?meth, B?la Potecz, Be?ta Strazicky, Andr?s Pr?kopa, J?nos Mayer, Istv?n De?k, J?nos Hoffer
- Publisher
- Springer
- Publication year
- 2014
- Condition
- Neu
- Binding
- Gebundene Ausgabe
- Language
- English
- ISBN 10
- 3319078143
- ISBN 13
- 9783319078144
- Item weight
- 349 grams
- Series
- Book 27 of 43: Springer Series in Operations Research and Financial Engineering
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.
"Synopsis" may belong to another edition of this title.
About the Author
Prof. András Prékopa is a Professor at Rutgers University in the Department of Statistics.
Prof. János Mayer is a Professor at University of Zurich in the Department of Business Adminstration.
Prof. Beáta Strazicky is currently retired but was a Professor at Szent István University.
Prof. István Deák is a Professor at Corvinus University of Budapest in the Department of Computer Science.
János Hoffer works at Allianz Hungária Insurance Company in the IT Quality Assurance Section.
Ágoston Németh works in Ex-Lh Ltd.
Béla Potecz is retired but previously worked for MAVIR Hungarian Independent Transmission Operator Company Ltd.
"About the title" may belong to another edition of this title.
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