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

Author:   András Prékopa ,  János Mayer ,  Beáta Strazicky ,  István Deák
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2014
ISBN:  

9783319361130


Pages:   139
Publication Date:   10 September 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Scheduling of Power Generation: A Large-Scale Mixed-Variable Model


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Overview

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.

Full Product Details

Author:   András Prékopa ,  János Mayer ,  Beáta Strazicky ,  István Deák
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2014
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   2.409kg
ISBN:  

9783319361130


ISBN 10:   3319361139
Pages:   139
Publication Date:   10 September 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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Author Information

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.

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