Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems: An Optimal Integration Of Renewable Energy Resources Into Grid

Author:   Moussa Labbadi ,  Kamal Elyaalaoui ,  Loubna Bousselamti ,  Mohammed Ouassaid
Publisher:   Springer Nature Switzerland AG
Edition:   2022 ed.
Volume:   434
ISBN:  

9783030987367


Pages:   225
Publication Date:   15 April 2022
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems: An Optimal Integration Of Renewable Energy Resources Into Grid


Overview

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.

Full Product Details

Author:   Moussa Labbadi ,  Kamal Elyaalaoui ,  Loubna Bousselamti ,  Mohammed Ouassaid
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2022 ed.
Volume:   434
Weight:   0.559kg
ISBN:  

9783030987367


ISBN 10:   3030987361
Pages:   225
Publication Date:   15 April 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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