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Robust optimal planning and operatio...

Mohammadi-ivatloo, Behnam.

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Robust optimal planning and operation of electrical energy systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Robust optimal planning and operation of electrical energy systems/ edited by Behnam Mohammadi-ivatloo, Morteza Nazari-Heris.
其他作者:	Mohammadi-ivatloo, Behnam.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xiii, 315 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Electric power systems. -
電子資源:	https://doi.org/10.1007/978-3-030-04296-7
ISBN:	9783030042967

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

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

649380
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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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 2 4 $a Energy Systems. $3 1530445
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