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

Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs: Studies in Systems, Decision and Control, cartea 144

Editat de Fernando Lopes, Helder Coelho
en Limba Engleză Hardback – 23 feb 2018
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 accessiblestyle, the book also provides a coherent foundation for several different graduate courses.
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Specificații

ISBN-13: 9783319742618
ISBN-10: 3319742612
Pagini: 315
Ilustrații: XXVI, 327 p. 69 illus., 67 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.67 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Systems, Decision and Control

Locul publicării:Cham, Switzerland

Cuprins

Overview of Wholesale Electricity Markets.- Market Prices in a Power Market with more than 50% Wind Power.- Incentivizing Flexibility in System Operations.-  Requirements for Strategic Reserves in a Liberalized Market with Wind Power.-  Renewable Generation, Support Policies and the Merit Order Effect: A Comprehensive Overview and the Case of Wind Power in Portugal.- Demand Response in Electricity Markets: An Overview and a Study of the Price-effect on the Iberian Daily Market.- Multi-Agent Electricity Markets and Smart Grids Simulation with Connection to Real Physical Resources.

Recenzii

“The book explores in depth the intersection between electricity markets and multi-agent systems. To the best of our knowledge this is the first single volume that tries to achieve this, having a large scope, from more traditional to emerging electricity markets and from market design to agent-based simulation.” (Georgios Martinopoulos, Energy, Vol. 186, November, 2019)

Notă biografică


Textul de pe ultima copertă

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 accessiblestyle, the book also provides a coherent foundation for several different graduate courses.

Caracteristici

Includes recent research on multi-agent energy markets Describes the state-of-the-art on the theory and practice of intelligent agents for liberalized energy markets Brings together researchers and industry practitioners from the areas of intelligent agents and energy markets