東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Modeling, optimization and intellige...

Labbadi, Moussa.

Linked to FindBook

Google Book

Amazon

博客來

Modeling, optimization and intelligent control techniques in renewable energy systems = an optimal integration of renewable energy resources into grid /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling, optimization and intelligent control techniques in renewable energy systems/ by Moussa Labbadi ... [et al.].
Reminder of title:	an optimal integration of renewable energy resources into grid /
other author:	Labbadi, Moussa.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xxxii, 225 p. :ill., digital ;24 cm.
[NT 15003449]:	Intelligent control on wind farm -- Modeling, optimization and sizing of hybrid PV-CSP plants PV-CSP hybrid plants -- Appendix.
Contained By:	Springer Nature eBook
Subject:	Renewable energy sources. -
Online resource:	https://doi.org/10.1007/978-3-030-98737-4
ISBN:	9783030987374

Modeling, optimization and intelligent control techniques in renewable energy systems = an optimal integration of renewable energy resources into grid /
Modeling, optimization and intelligent control techniques in renewable energy systemsan optimal integration of renewable energy resources into grid /[electronic resource] :by Moussa Labbadi ... [et al.]. - Cham :Springer International Publishing :2022. - xxxii, 225 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 4342198-4190 ;. - Studies in systems, decision and control ;v. 434..

Intelligent control on wind farm -- Modeling, optimization and sizing of hybrid PV-CSP plants PV-CSP hybrid plants -- Appendix.

This book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.

ISBN: 9783030987374

Standard No.: 10.1007/978-3-030-98737-4doiSubjects--Topical Terms:

543030
Renewable energy sources.

LC Class. No.: TJ808

Dewey Class. No.: 621.042

Modeling, optimization and intelligent control techniques in renewable energy systems = an optimal integration of renewable energy resources into grid /
LDR:02850nmm a2200349 a 4500 001 2300492
003 DE-He213
005 20220414034618.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030987374 $q (electronic bk.)
020 $a 9783030987367 $q (paper)
024 7 $a 10.1007/978-3-030-98737-4 $2 doi
035 $a 978-3-030-98737-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ808
072 7 $a TJFM $2 bicssc
072 7 $a GPFC $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 621.042 $2 23
090 $a TJ808 $b .M689 2022
245 0 0 $a Modeling, optimization and intelligent control techniques in renewable energy systems $h [electronic resource] : $b an optimal integration of renewable energy resources into grid / $c by Moussa Labbadi ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xxxii, 225 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4190 ; $v v. 434
505 0 $a Intelligent control on wind farm -- Modeling, optimization and sizing of hybrid PV-CSP plants PV-CSP hybrid plants -- Appendix.
520 $a This book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.
650 0 $a Renewable energy sources. $3 543030
650 1 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Energy Policy, Economics and Management. $3 1532761
650 2 4 $a Computational Intelligence. $3 1001631
700 1 $a Labbadi, Moussa. $3 3590666
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in systems, decision and control ; $v v. 434. $3 3599034
856 4 0 $u https://doi.org/10.1007/978-3-030-98737-4
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)