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Moussa Labbadi,Kamal Elyaalaoui,Loubna Bousselamti,Mohammed Ouassaid,Mohamed Cherkaoui

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

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


This book discusses control and management strategies for renewable energy resources, including hybrid photovoltaic-concentrated solar power systems with thermal storage. It is suitable for academic undergraduate, postgraduates, researchers, and energy engineers, providing a comprehensive background on renewable energy systems and their applications.

Format: Paperback / softback
Length: 225 pages
Publication date: 16 April 2023
Publisher: Springer Nature Switzerland AG


This comprehensive book consists of two distinct parts, each offering valuable insights into the field of renewable energy control and management. The first part delves into the exploration of recent developed strategies for controlling and managing renewable energy resources. These strategies are put to the test in the presence of various challenges, such as unbalance power, voltage faults, frequency deviation, wind speed variation, and parametric uncertainties. By examining these control strategies, the book aims to provide valuable insights into the effective management of renewable energy systems.

The second part of the book is particularly focused on the study of hybrid photovoltaic (PV) and concentrated solar power (CSP) coupled to a thermal storage system. This part encompasses a collection of chapters that cover recent survey literature, modeling, and optimization of hybrid PV-CSP power plants. In this section, a detailed model of hybrid PV-CSP with thermal storage system is presented, along with smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA). These techniques are utilized to optimally design the hybrid PV-CSP renewable energy system, ensuring maximum efficiency and reliability.

The book is of immense interest to academic undergraduate, postgraduate, researchers, and practitioners in the field of renewable energy systems. It offers valuable insights into modeling, optimization, and control, as well as fulfilling grid code requirements. Moreover, it serves as an excellent foundation for those seeking to understand renewable energy sources, making it an ideal choice for energy engineers, researchers, system operators, and graduate students. This book can be used as a reliable reference for academic research on smart grids, power control, integration of renewable energy sources, and related areas. It can also be utilized as a valuable resource for Ph.D. studies in control, optimization, management, and their practical applications in field engineering.

Weight: 403g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030987398
Edition number: 1st ed. 2022

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