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Titlebook: Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems; An Optimal Integrati Moussa Labbadi,Kamal Elyaalaoui

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書目名稱Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems
副標(biāo)題An Optimal Integrati
編輯Moussa Labbadi,Kamal Elyaalaoui,Mohamed Cherkaoui
視頻videohttp://file.papertrans.cn/637/636302/636302.mp4
概述Presents a survey of advanced control for wind turbine systems and advanced optimization methods for PV-CSP.Focuses on modelling, optimization and control of wind turbines and Photovoltaic- Concentrat
叢書名稱Studies in Systems, Decision and Control
圖書封面Titlebook: Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems; An Optimal Integrati Moussa Labbadi,Kamal Elyaalaoui
描述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, re
出版日期Book 2022
關(guān)鍵詞Wind farm supervision system; Primary frequency control; LVRT control; Intelligent controller; Fuzzy sli
版次1
doihttps://doi.org/10.1007/978-3-030-98737-4
isbn_softcover978-3-030-98739-8
isbn_ebook978-3-030-98737-4Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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