LEADER 04071nam 22006375 450 001 9910561294603321 005 20250206005243.0 010 $a9783030987374 010 $a303098737X 024 7 $a10.1007/978-3-030-98737-4 035 $a(MiAaPQ)EBC6953202 035 $a(Au-PeEL)EBL6953202 035 $a(CKB)21511119900041 035 $a(PPN)262170116 035 $a(DE-He213)978-3-030-98737-4 035 $a(EXLCZ)9921511119900041 100 $a20220414d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems $eAn Optimal Integration Of Renewable Energy Resources Into Grid /$fby Moussa Labbadi, Kamal Elyaalaoui, Loubna Bousselamti, Mohammed Ouassaid, Mohamed Cherkaoui 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (244 pages) $cillustrations (black and white, and color) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v434 311 08$aPrint version: Labbadi, Moussa Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems Cham : Springer International Publishing AG,c2022 9783030987367 320 $aIncludes bibliographical references and index. 327 $aIntelligent control on wind farm -- Modeling, optimization and sizing of hybrid PV-CSP plants PV-CSP hybrid plants -- Appendix. 330 $aThis book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewableenergy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v434 606 $aAutomatic control 606 $aEnergy policy 606 $aEnergy policy 606 $aComputational intelligence 606 $aControl and Systems Theory 606 $aEnergy Policy, Economics and Management 606 $aComputational Intelligence 615 0$aAutomatic control. 615 0$aEnergy policy. 615 0$aEnergy policy. 615 0$aComputational intelligence. 615 14$aControl and Systems Theory. 615 24$aEnergy Policy, Economics and Management. 615 24$aComputational Intelligence. 676 $a621.042 676 $a621.042 700 $aLabbadi$b Moussa$01081119 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910561294603321 996 $aModeling, optimization and intelligent control techniques in renewable energy systems$92968859 997 $aUNINA