• Virtual Power Plants and Electricity Markets Decision Making Under Uncertainty

Virtual Power Plants and Electricity Markets Decision Making Under Uncertainty

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Est. Date: Feb 6, 2026
Overview

This textbook provides a detailed analysis of operation and planning problems faced by virtual power plants participating in different electricity markets. The chapters address in-depth, topics such as: optimization, market power, expansion, and modelling uncertainty in operation and planning problems of virtual power plants. The book provides an up-to-date description of decision-making tools to address challenging questions faced by virtual power plants such as: How can virtual power plants optimize their participation in electricity markets? How can a virtual power plant exercise market power? How can virtual power plants be optimally expanded? How can uncertainty be efficiently modelled in the operation and planning problems of virtual power plants? The book is written in a tutorial style and modular format, and includes many illustrative examples to facilitate comprehension. It is intended for a diverse audience including advanced undergraduate and graduate students in the fields of electric energy systems, operations research, and economics. Practitioners in the energy sector will also benefit from the concepts and techniques presented in this book. In particular, this book: Provides students with the GAMS codes to solve the examples in the book; Provides a basis for the formulation of decision-making problems under uncertainty; Contains a blend of theoretical concepts and practical applications that are developed as working algorithms.

Product Details

ISBN-13: 9783030476045
ISBN-10: 3030476049
Publisher: Springer International Publishing
Publication date: 2021-09-04
Edition description: 1
Pages: 381
Product dimensions: Height: 10.98 inches, Length: 8.27 inches, Weight: 2.14289318664 pounds, Width: 0.93 inches
Author: Luis Baringo, Morteza Rahimiyan
Language: en
Binding: Paperback

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