Decision Making Under Uncertainty in Electricity Markets

  • Antonio J. Conejo
  • Miguel Carrión
  • Juan M. Morales
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 153)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Antonio J. Conejo, Miguel Carrión, Juan M. Morales
    Pages 1-26
  3. Antonio J. Conejo, Miguel Carrión, Juan M. Morales
    Pages 27-62
  4. Antonio J. Conejo, Miguel Carrión, Juan M. Morales
    Pages 63-119
  5. Antonio J. Conejo, Miguel Carrión, Juan M. Morales
    Pages 121-156
  6. Antonio J. Conejo, Miguel Carrión, Juan M. Morales
    Pages 157-194
  7. Antonio J. Conejo, Miguel Carrión, Juan M. Morales
    Pages 195-251
  8. Antonio J. Conejo, Miguel Carrión, Juan M. Morales
    Pages 253-285
  9. Antonio J. Conejo, Miguel Carrión, Juan M. Morales
    Pages 287-321
  10. Antonio J. Conejo, Miguel Carrión, Juan M. Morales
    Pages 323-355
  11. Antonio J. Conejo, Miguel Carrión, Juan M. Morales
    Pages 357-403
  12. Antonio J. Conejo, Miguel Carrión, Juan M. Morales
    Pages 405-446
  13. Back Matter
    Pages 447-539

About this book

Introduction

Decision Making Under Uncertainty in Electricity Markets provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust. Particularly, these techniques allow electricity producers to derive offering strategies for the pool and contracting decisions in the futures market. Retailers use these techniques to derive selling prices to clients and energy procurement strategies through the pool, the futures market and bilateral contracting. Using the proposed models, consumers can derive the best energy procurement strategies using the available trading floors. The market operator can use the techniques proposed in this book to clear simultaneously energy and reserve markets promoting efficiency and equity. The techniques described in this book are of interest for professionals working on energy markets, and for graduate students in power engineering, applied mathematics, applied economics, and operations research.

Keywords

Electricity Markets Futures Futures markets Trading algorithms decision making electricity modeling operations research programming stochastic programming uncertainty

Authors and affiliations

  • Antonio J. Conejo
    • 1
  • Miguel Carrión
    • 2
  • Juan M. Morales
    • 3
  1. 1.ETSI IndustrialesUniversidad de Castilla - La ManchaCiudad RealSpain
  2. 2., Department of Electrical EngineeringUniversidad de Castilla - La ManchaToledoSpain
  3. 3.ETSI IndustrialesUniversidad de Castilla - La ManchaCiudad RealSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-7421-1
  • Copyright Information Springer Science+Business Media, LLC 2010
  • Publisher Name Springer, Boston, MA
  • eBook Packages Business and Economics
  • Print ISBN 978-1-4419-7420-4
  • Online ISBN 978-1-4419-7421-1
  • Series Print ISSN 0884-8289
  • About this book