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Virtual power plants and electricity...

Baringo, Luis.

Virtual power plants and electricity marketsdecision making under uncertainty /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Virtual power plants and electricity marketsby Luis Baringo, Morteza Rahimiyan.
其他題名:	decision making under uncertainty /
作者:	Baringo, Luis.
其他作者:	Rahimiyan, Morteza.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xii, 381 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Electric power-plantsDecision making.
電子資源:	https://doi.org/10.1007/978-3-030-47602-1
ISBN:	9783030476021$q(electronic bk.)

Virtual power plants and electricity marketsdecision making under uncertainty /
Baringo, Luis.

Virtual power plants and electricity marketsdecision making under uncertainty /[electronic resource] :by Luis Baringo, Morteza Rahimiyan. - Cham :Springer International Publishing :2020. - xii, 381 p. :ill., digital ;24 cm.

Virtual Power Plants -- Virtual Power Plant Model -- Optimal Scheduling of a Risk-Neutral Virtual Power Plant in Energy Markets -- Optimal Scheduling of a Risk-Averse Virtual Power Plant in Energy Markets -- Optimal Scheduling of a Virtual Power Plant in Energy and Reserve Markets -- Price-Maker Virtual Power Plants -- Expansion Planning of Virtual Power Plants -- Optimization Problems -- Optimization Under Uncertainty.

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.

ISBN: 9783030476021$q(electronic bk.)

Standard No.: 10.1007/978-3-030-47602-1doiSubjects--Topical Terms:

876144
Electric power-plants
--Decision making.

LC Class. No.: TK1191 / .B375 2020

Dewey Class. No.: 621.31

Virtual power plants and electricity marketsdecision making under uncertainty /
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520 $a 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.
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