國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Robust optimal planning and operatio...

Mohammadi-ivatloo, Behnam.

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 systemsedited 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.
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$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
LDR:02425nmm a2200325 a 4500 001 552858
003 DE-He213
005 20190805173338.0
006 m d
007 cr nn 008maaau
008 191107s2019 gw s 0 eng d
020 $a 9783030042967$q(electronic bk.)
020 $a 9783030042950$q(paper)
024 7 $a 10.1007/978-3-030-04296-7 $2 doi
035 $a 978-3-030-04296-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TK1005 $b .R638 2019
072 7 $a THRD $2 bicssc
072 7 $a TEC046000 $2 bisacsh
072 7 $a THR $2 thema
082 0 4 $a 621.31 $2 23
090 $a TK1005 $b .R667 2019
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.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
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.
650 0 $a Electric power systems. $3 182985
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
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-04296-7
950 $a Engineering (Springer-11647)