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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling, optimization and intelligent control techniques in renewable energy systemsby Moussa Labbadi ... [et al.].
其他題名:	an optimal integration of renewable energy resources into grid /
其他作者:	Labbadi, Moussa.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xxxii, 225 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Renewable energy sources.
電子資源:	https://doi.org/10.1007/978-3-030-98737-4
ISBN:	9783030987374$q(electronic bk.)

Modeling, optimization and intelligent control techniques in renewable energy systemsan 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.3..

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$q(electronic bk.)

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

190766
Renewable energy sources.

LC Class. No.: TJ808

Dewey Class. No.: 621.042

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