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Scheduling of Power Generation

A Large-Scale Mixed-Variable Model

  • András Prékopa
  • János Mayer
  • Beáta Strazicky
  • István Deák
  • János Hoffer
  • Ágoston Németh
  • Béla Potecz

Table of contents

  1. Front Matter
    Pages i-xi
  2. András Prékopa, János Mayer, Beáta Strazicky, István Deák, János Hoffer, Ágoston Németh
    Pages 1-10
  3. András Prékopa, János Mayer, Beáta Strazicky, István Deák, János Hoffer, Ágoston Németh
    Pages 11-41
  4. András Prékopa, János Mayer, Beáta Strazicky, István Deák, János Hoffer, Ágoston Németh
    Pages 43-57
  5. András Prékopa, János Mayer, Beáta Strazicky, István Deák, János Hoffer, Ágoston Németh
    Pages 59-75
  6. András Prékopa, János Mayer, Beáta Strazicky, István Deák, János Hoffer, Ágoston Németh
    Pages 77-132
  7. Back Matter
    Pages 133-139

About this book

Introduction

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.

Keywords

Control of electric power systems Daily scheduling Electric power generation Generation control Power balance

Authors and affiliations

  • András Prékopa
    • 1
  • János Mayer
    • 2
  • Beáta Strazicky
    • 3
  • István Deák
    • 4
  • János Hoffer
    • 5
  • Ágoston Németh
    • 6
  • Béla Potecz
    • 7
  1. 1.Department of StatisticsRutgers UniversityPiscatawayUSA
  2. 2.Department of Business AdminstrationUniversity of ZurichMoussonstrasseSwitzerland
  3. 3.VárfokHungary
  4. 4.Department of Computer ScienceCorvinus University of BudapestFővámHungary
  5. 5.IT Quality Assurance SectionAllianz Hungária Insurance CompanyKönyves KálmánHungary
  6. 6.Ex-Lh Ltd.Arany JánosHungary
  7. 7.Tóth ÁrpádHungary

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-07815-1
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-07814-4
  • Online ISBN 978-3-319-07815-1
  • Series Print ISSN 1431-8598
  • Series Online ISSN 2197-1773
  • Buy this book on publisher's site