國立高雄大學圖資館 |

Language: English

Back

Virtual power plants and electricity...

Baringo, Luis.

Virtual power plants and electricity marketsdecision making under uncertainty /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Virtual power plants and electricity marketsby Luis Baringo, Morteza Rahimiyan.
Reminder of title:	decision making under uncertainty /
Author:	Baringo, Luis.
other author:	Rahimiyan, Morteza.
Published:	Cham :Springer International Publishing :2020.
Description:	xii, 381 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Electric power-plantsDecision making.
Online resource:	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 /
LDR:02895nmm a2200325 a 4500 001 585259
003 DE-He213
005 20201224135410.0
006 m d
007 cr nn 008maaau
008 210311s2020 sz s 0 eng d
020 $a 9783030476021$q(electronic bk.)
020 $a 9783030476014$q(paper)
024 7 $a 10.1007/978-3-030-47602-1 $2 doi
035 $a 978-3-030-47602-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TK1191 $b .B375 2020
072 7 $a THR $2 bicssc
072 7 $a TEC046000 $2 bisacsh
072 7 $a THR $2 thema
082 0 4 $a 621.31 $2 23
090 $a TK1191 $b .B253 2020
100 1 $a Baringo, Luis. $3 803439
245 1 0 $a Virtual power plants and electricity markets $h [electronic resource] : $b decision making under uncertainty / $c by Luis Baringo, Morteza Rahimiyan.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xii, 381 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
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.
650 0 $a Electric power-plants $x Decision making. $3 876144
650 0 $a Electric power-plants $x Management. $3 753532
650 0 $a Electric utilities $x Management. $3 266196
650 0 $a Electric utilities $x Decision making. $3 876145
650 1 4 $a Power Electronics, Electrical Machines and Networks. $3 338660
650 2 4 $a Renewable and Green Energy. $3 309696
650 2 4 $a Energy Systems. $3 512090
650 2 4 $a Operations Research/Decision Theory. $3 273963
700 1 $a Rahimiyan, Morteza. $3 876143
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-47602-1
950 $a Energy (SpringerNature-40367)