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Robust optimal planning and operatio...

Mohammadi-ivatloo, Behnam.

Robust optimal planning and operation of electrical energy systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robust optimal planning and operation of electrical energy systemsedited by Behnam Mohammadi-ivatloo, Morteza Nazari-Heris.
other author:	Mohammadi-ivatloo, Behnam.
Published:	Cham :Springer International Publishing :2019.
Description:	xiii, 315 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Electric power systems.
Online resource:	https://doi.org/10.1007/978-3-030-04296-7
ISBN:	9783030042967$q(electronic bk.)

Robust optimal planning and operation of electrical energy systems
Robust optimal planning and operation of electrical energy systems[electronic resource] /edited by Behnam Mohammadi-ivatloo, Morteza Nazari-Heris. - Cham :Springer International Publishing :2019. - xiii, 315 p. :ill., digital ;24 cm.

Optimal planning issues of electric energy systems under uncertainty -- Optimal operation issues of electric energy systems under uncertainty -- Introduction to robust optimization (RO) method -- Introduction to information gap decision theory (IGDT) method -- Robust optimal planning and operation of electric energy systems -- Robs unit commitment -- Robust short-term scheduling -- Robust optimal power flow -- Robust transmission network expansion planning -- Robust strategic bidding of energy management systems -- Robust energy generation scheduling -- Robust economic dispatch problem in renewable-based hybrid energy systems -- Robust electricity market optimization -- Robust optimal design of hybrid energy systems.

This book discusses the recent developments in robust optimization (RO) and information gap design theory (IGDT) methods and their application for the optimal planning and operation of electric energy systems. Chapters cover both theoretical background and applications to address common uncertainty factors such as load variation, power market price, and power generation of renewable energy sources. Case studies with real-world applications are included to help undergraduate and graduate students, researchers and engineers solve robust power and energy optimization problems and provide effective and promising solutions for the robust planning and operation of electric energy systems.

ISBN: 9783030042967$q(electronic bk.)

Standard No.: 10.1007/978-3-030-04296-7doiSubjects--Topical Terms:

182985
Electric power systems.

LC Class. No.: TK1005 / .R638 2019

Dewey Class. No.: 621.31

Robust optimal planning and operation of electrical energy systems
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245 0 0 $a Robust optimal planning and operation of electrical energy systems $h [electronic resource] / $c edited by Behnam Mohammadi-ivatloo, Morteza Nazari-Heris.
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300 $a xiii, 315 p. : $b ill., digital ; $c 24 cm.
505 0 $a Optimal planning issues of electric energy systems under uncertainty -- Optimal operation issues of electric energy systems under uncertainty -- Introduction to robust optimization (RO) method -- Introduction to information gap decision theory (IGDT) method -- Robust optimal planning and operation of electric energy systems -- Robs unit commitment -- Robust short-term scheduling -- Robust optimal power flow -- Robust transmission network expansion planning -- Robust strategic bidding of energy management systems -- Robust energy generation scheduling -- Robust economic dispatch problem in renewable-based hybrid energy systems -- Robust electricity market optimization -- Robust optimal design of hybrid energy systems.
520 $a This book discusses the recent developments in robust optimization (RO) and information gap design theory (IGDT) methods and their application for the optimal planning and operation of electric energy systems. Chapters cover both theoretical background and applications to address common uncertainty factors such as load variation, power market price, and power generation of renewable energy sources. Case studies with real-world applications are included to help undergraduate and graduate students, researchers and engineers solve robust power and energy optimization problems and provide effective and promising solutions for the robust planning and operation of electric energy systems.
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650 0 $a Electric power systems $x Management. $3 453994
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
700 1 $a Mohammadi-ivatloo, Behnam. $3 833773
700 1 $a Nazari-Heris, Morteza. $3 833774
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856 4 0 $u https://doi.org/10.1007/978-3-030-04296-7
950 $a Engineering (Springer-11647)