Integrating Renewables in Electricity Markets

Operational Problems

  • Juan M. Morales
  • Antonio J. Conejo
  • Henrik Madsen
  • Pierre Pinson
  • Marco Zugno

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 205)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno
    Pages 1-13
  3. Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno
    Pages 15-56
  4. Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno
    Pages 57-100
  5. Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno
    Pages 101-136
  6. Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno
    Pages 137-171
  7. Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno
    Pages 173-203
  8. Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno
    Pages 205-242
  9. Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno
    Pages 243-287
  10. Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno
    Pages 289-329
  11. Back Matter
    Pages 331-429

About this book

Introduction

This addition to the ISOR series addresses the analytics of the operations of electric energy systems with increasing penetration of stochastic renewable production facilities, such as wind- and solar-based generation units.

As stochastic renewable production units become ubiquitous throughout electric energy systems, an increasing level of flexible backup provided by non-stochastic units and other system agents is needed if supply security and quality are to be maintained.

Within the context above, this book provides up-to-date analytical tools to address challenging operational problems such as:

• The modeling and forecasting of stochastic renewable power production.
• The characterization of the impact of renewable production on market outcomes.
• The clearing of electricity markets with high penetration of stochastic renewable units.
• The development of mechanisms to counteract the variability and unpredictability of stochastic renewable units so that supply security is not at risk.
• The trading of the electric energy produced by stochastic renewable producers.
• The association of a number of electricity production facilities, stochastic and others, to increase their competitive edge in the electricity market.
• The development of procedures to enable demand response and to facilitate the integration of stochastic renewable units.

This book is written in a modular and tutorial manner and includes many illustrative examples to facilitate its comprehension. It is intended for advanced undergraduate and graduate students in the fields of electric energy systems, applied mathematics and economics. Practitioners in the electric energy sector will benefit as well from the concepts and techniques explained in this book.

Keywords

Decision Making Electricity Demand Electricity Markets Model Predictive Control Renewable Electricity Sources Wind and Solar Energy Modeling

Authors and affiliations

  • Juan M. Morales
    • 1
  • Antonio J. Conejo
    • 2
  • Henrik Madsen
    • 3
  • Pierre Pinson
    • 4
  • Marco Zugno
    • 5
  1. 1.DTU ComputeTechnical University of DenmarkLyngbyDenmark
  2. 2.University of Castilla - La ManchaCiudad RealSpain
  3. 3.DTU ComputeTechnical University of DenmarkLyngbyDenmark
  4. 4.DTU ComputeTechnical University of DenmarkLyngbyDenmark
  5. 5.DTU ComputeTechnical University of DenmarkLyngbyDenmark

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-9411-9
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, Boston, MA
  • eBook Packages Business and Economics
  • Print ISBN 978-1-4614-9410-2
  • Online ISBN 978-1-4614-9411-9
  • Series Print ISSN 0884-8289
  • Series Online ISSN 2214-7934
  • About this book