Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs

  • Fernando Lopes
  • Helder Coelho
Book

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 144)

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Electricity Markets and Autonomous Computational Agents

    1. Front Matter
      Pages 1-1
    2. Erik Ela, Michael Milligan, Aaron Bloom, Jaquelin Cochran, Audun Botterud, Aaron Townsend et al.
      Pages 3-21
  3. Electricity Markets with Large Penetrations of Variable Generation: Current and Emerging Designs

    1. Front Matter
      Pages 79-79
    2. Klaus Skytte, Poul Erik Grohnheit
      Pages 81-94
    3. Erik Ela, Michael Milligan, Aaron Bloom, Audun Botterud, Aaron Townsend, Todd Levin
      Pages 95-127
    4. Erik Ela, Michael Milligan, Aaron Bloom, Audun Botterud, Aaron Townsend, Todd Levin
      Pages 129-164
  4. Agent-based Simulation of Electricity Markets with Increasing Levels of Variable Generation: Traditional and New Design Elements

About this book

Introduction

This book describes the common ground between electricity markets (EMs) and software agents (or artificial intelligence generally).
 
It presents an up-to-date introduction to EMs and intelligent agents, and offers a comprehensive description of the research advances and key achievements related to existing and emerging market designs to reliably and efficiently manage the potential challenges of variable generation (VG). Most EMs are unique in their complex relationships between economics and the physics of energy, but were created without the notion that large penetrations of variable generation (VG) would be part of the supply mix. An advanced multi-agent approach simulates the behavior of power markets over time, particularly markets with large-scale penetrations of renewable resources.
 
It is intended as a reference book for researchers, academics and industry practitioners, but given the scope of the chapters and the highly accessible style, the book also provides a coherent foundation for several different graduate courses.

Keywords

Energy Markets Intelligent Agents Multi-Agents Electricity Markets Power Market

Editors and affiliations

  • Fernando Lopes
    • 1
  • Helder Coelho
    • 2
  1. 1.National Laboratory of Energy and GeologyLisbonPortugal
  2. 2.University of LisbonLisbonPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-74263-2
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-74261-8
  • Online ISBN 978-3-319-74263-2
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • About this book
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