Virtual Power Plants and Electricity Markets : Decision Making Under Uncertainty / by Luis Baringo, Morteza Rahimiyan

By:

Baringo, Luis [VerfasserIn]

Contributor(s):

Rahimiyan, Morteza [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Cham : Springer International Publishing, 2020Publisher: Cham : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XII, 381 p. 183 illus., 155 illus. in color.)ISBN:

9783030476021

Subject(s):

Additional physical formats: 9783030476014 | 9783030476038 | 9783030476045 | Erscheint auch als: 9783030476014 Druck-Ausgabe | Erscheint auch als: 9783030476038 Druck-Ausgabe | Erscheint auch als: 9783030476045 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-47602-1Online resources:

Summary: 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.Summary: 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.PPN: PPN: 1734623543Package identifier: Produktsigel: ZDB-2-ENE | ZDB-2-SEB | ZDB-2-SXEN

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