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

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.

List 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.

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 Némethworks in Ex-Lh Ltd.
Béla Potecz is retired but previously worked for MAVIR Hungarian Independent Transmission Operator Company Ltd.

Product details

• Authors: István Deák, János Hoffer, János Mayer, Ágoston Németh, Béla Potecz, András Prékopa, Beáta Strazicky
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 10.09.2016
• EAN: 9783319361130
• ISBN: 978-3-31-936113-0
• No. of pages: 139
• Dimensions: 155 mm x 10 mm x 238 mm
• Weight: 242 g
• Illustrations: XI, 139 p. 26 illus.
• Series: Springer Series in Operations Research and Financial Engineering
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous; Operations Research, B, Optimization, Mathematics and Statistics, Management & management techniques, Industrial Engineering, Industrial and Production Engineering, Operations Research, Management Science, Management science, Production engineering, Mathematical optimization, Continuous Optimization