04071nam 22006375 450 991056129460332120250206005243.09783030987374303098737X10.1007/978-3-030-98737-4(MiAaPQ)EBC6953202(Au-PeEL)EBL6953202(CKB)21511119900041(PPN)262170116(DE-He213)978-3-030-98737-4(EXLCZ)992151111990004120220414d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierModeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems An Optimal Integration Of Renewable Energy Resources Into Grid /by Moussa Labbadi, Kamal Elyaalaoui, Loubna Bousselamti, Mohammed Ouassaid, Mohamed Cherkaoui1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (244 pages) illustrations (black and white, and color)Studies in Systems, Decision and Control,2198-4190 ;434Print version: Labbadi, Moussa Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems Cham : Springer International Publishing AG,c2022 9783030987367 Includes bibliographical references and index.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 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.Studies in Systems, Decision and Control,2198-4190 ;434Automatic controlEnergy policyEnergy policyComputational intelligenceControl and Systems TheoryEnergy Policy, Economics and ManagementComputational IntelligenceAutomatic control.Energy policy.Energy policy.Computational intelligence.Control and Systems Theory.Energy Policy, Economics and Management.Computational Intelligence.621.042621.042Labbadi Moussa1081119MiAaPQMiAaPQMiAaPQBOOK9910561294603321Modeling, optimization and intelligent control techniques in renewable energy systems2968859UNINA