Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
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 Systems: An Optimal Integration of Renewable Energy Resources Into Grid

Labbadi, Moussa
Elyaalaoui, Kamal
Bousselamti, Loubna

Hardcover

Series: Studies in Systems, Decision and Control, Book 434

Business GeneralTechnology & Engineering

ISBN10: 3030987361
ISBN13: 9783030987367
Publisher: Springer Nature
Published: Apr 15 2022
Pages: 225
Weight: 1.19
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English
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.

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