Overview
- Combines insights from power systems engineering and operations research, both for building the model and for the development of a solution algorithm
- Accessible to readers from both fields, as well as for graduate students
- Includes short–term power generation scheduling, having the goal of operating the existing generating and electric apparatus as a whole at an optimal level
Part of the book series: Springer Series in Operations Research and Financial Engineering (ORFE)
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Table of contents (5 chapters)
Keywords
About this book
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.
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: Scheduling of Power Generation
Book Subtitle: A Large-Scale Mixed-Variable Model
Authors: András Prékopa, János Mayer, Beáta Strazicky, István Deák, János Hoffer, Ágoston Németh, Béla Potecz
Series Title: Springer Series in Operations Research and Financial Engineering
DOI: https://doi.org/10.1007/978-3-319-07815-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-07814-4Published: 19 September 2014
Softcover ISBN: 978-3-319-36113-0Published: 10 September 2016
eBook ISBN: 978-3-319-07815-1Published: 25 August 2014
Series ISSN: 1431-8598
Series E-ISSN: 2197-1773
Edition Number: 1
Number of Pages: XI, 139
Number of Illustrations: 26 b/w illustrations
Topics: Operations Research, Management Science, Industrial and Production Engineering, Continuous Optimization