Scheduling of Power Generation : A Large-Scale Mixed-Variable Model

András Prékopa

ISBN 10: 3319361139 / ISBN 13: 9783319361130

Editore: Springer International Publishing, 2016

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - 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.

Codice articolo 9783319361130

Dati bibliografici

• Titolo: Scheduling of Power Generation : A Large-Scale Mixed-Variable Model
• Editore: Springer International Publishing
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3319361139
• ISBN 13: 9783319361130
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 9 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 9 millimetri di profonditŕ
• Peso: 242 grammi

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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.