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Luis Baringo,Morteza Rahimiyan

Virtual Power Plants and Electricity Markets: Decision Making Under Uncertainty

Virtual Power Plants and Electricity Markets: Decision Making Under Uncertainty

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  • More about Virtual Power Plants and Electricity Markets: Decision Making Under Uncertainty


This textbook offers a comprehensive analysis of operation and planning problems faced by virtual power plants in various electricity markets, covering optimization, market power, expansion, and uncertainty modeling. Written in a tutorial style and modular format, it includes illustrative examples and GAMS codes to facilitate comprehension and is intended for a diverse audience, including students, practitioners, and energy sector professionals.

Format: Paperback / softback
Length: 381 pages
Publication date: 04 September 2021
Publisher: Springer Nature Switzerland AG


This comprehensive textbook delves into the intricate analysis of operation and planning challenges encountered by virtual power plants participating in diverse electricity markets. It encompasses a detailed exploration of various topics, including optimization, market power, expansion, and modeling uncertainty in the operation and planning problems of virtual power plants. The book offers an up-to-date overview of decision-making tools designed to address the complex challenges faced by virtual power plants, such as optimizing their participation in electricity markets, exercising market power effectively, achieving optimal expansion, and efficiently modeling uncertainty. Written in a tutorial style and modular format, the book includes numerous illustrative examples to facilitate comprehension. Its intended audience encompasses advanced undergraduate and graduate students in the fields of electric energy systems, operations research, and economics, as well as practitioners in the energy sector.

Moreover, this book serves as a valuable resource for students seeking to gain practical insights into the field, as it provides GAMS codes to solve the examples presented throughout. Furthermore, it serves as a foundation for formulating decision-making problems under uncertainty, incorporating a blend of theoretical concepts and practical applications that are developed as working algorithms. By presenting a comprehensive and practical approach to the operation and planning of virtual power plants, this textbook contributes to the advancement of knowledge in the energy sector and provides valuable guidance for professionals seeking to excel in this field.

Weight: 972g
Dimension: 279 x 210 (mm)
ISBN-13: 9783030476045
Edition number: 1st ed. 2020

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