Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems: An Optimal Integration Of Renewable Energy Resources Into Grid (Studies in Systems, Decision and Control, 434)
$129.99
Description
Book Synopsis: 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.
Details
Looking to enhance your knowledge in renewable energy systems? Look no further! Introducing the groundbreaking book, "Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems: An Optimal Integration Of Renewable Energy Resources Into Grid". This comprehensive guide is designed to provide you with the latest strategies and techniques for controlling and managing renewable energy resources, ensuring optimal performance even in challenging conditions. Whether you're an academic undergraduate, postgraduate, researcher, or energy engineer, this book is a must-have resource for understanding the intricacies of renewable energy systems and meeting grid code requirements.
One of the key highlights of this book is its in-depth study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. With a detailed model and the implementation of smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA), this book empowers you to design and optimize hybrid PV-CSP renewable energy systems for maximum efficiency and performance.
As you dive into the pages of this book, you'll discover a treasure trove of valuable information, including recent survey literature, modelling, and optimization techniques. From wind speed variation to parametric uncertainties, this book covers it all, equipping you with the knowledge and skills to tackle real-world challenges in renewable energy systems.
Don't miss out on this opportunity to expand your understanding and expertise in renewable energy systems. Order your copy of "Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems" today and embark on a journey towards becoming a leader in the sustainable energy revolution.
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