Overview
- 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- Concentrated Solar Power Hybridization
- Written by experts in the field
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 434)
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About this book
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.
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.
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Keywords
Table of contents (12 chapters)
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Front Matter
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Intelligent Control on Wind Farm
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Front Matter
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Modeling, Optimization and Sizing of Hybrid PV-CSP Plants PV-CSP Hybrid Plants
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems
Book Subtitle: An Optimal Integration Of Renewable Energy Resources Into Grid
Authors: Moussa Labbadi, Kamal Elyaalaoui, Loubna Bousselamti, Mohammed Ouassaid, Mohamed Cherkaoui
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-98737-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-98736-7Published: 15 April 2022
Softcover ISBN: 978-3-030-98739-8Published: 16 April 2023
eBook ISBN: 978-3-030-98737-4Published: 14 April 2022
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XXXII, 225
Number of Illustrations: 10 b/w illustrations, 111 illustrations in colour
Topics: Control and Systems Theory, Energy Policy, Economics and Management, Computational Intelligence