Fanghong Guo,Changyun Wen,Yong-DuanSong
Distributed Control and Optimization Technologies in Smart Grid Systems
Distributed Control and Optimization Technologies in Smart Grid Systems
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- More about Distributed Control and Optimization Technologies in Smart Grid Systems
The book aims to bridge the gap between academia and industry by providing a comprehensive overview of distributed control and optimization theory with practical industrial applications to smart grid systems, particularly micro grid systems. It includes real-world examples and illustrates the use of proposed toolsets to control and optimize smart grid systems.
Format: Paperback / softback
Length: 216 pages
Publication date: 13 June 2022
Publisher: Taylor & Francis Ltd
The book aims to bridge the gap between theory and practice in the field of industrial automation, by simplifying complex mathematical concepts and making them accessible to a wide range of readers. It provides a comprehensive overview of distributed control and distributed optimization theory, followed by detailed case studies on real-world industrial applications, particularly in the context of smart grid systems. Each chapter is carefully crafted to provide a clear and concise introduction to the relevant theories, followed by practical examples and illustrations that demonstrate how these concepts can be applied in practice.
The text covers a wide range of topics, including distributed control systems, optimization algorithms, power system dynamics, and renewable energy integration. It emphasizes the importance of interdisciplinary collaboration and highlights the role of technology in driving innovation and efficiency in the industrial sector.
By offering a comprehensive and practical guide to industrial automation, the book aims to empower professionals and students alike with the skills and knowledge necessary to thrive in the rapidly evolving field of industrial automation.
The book aims to bridge the gap between theory and practice in the field of industrial automation, by simplifying complex mathematical concepts and making them accessible to a wide range of readers. It provides a comprehensive overview of distributed control and distributed optimization theory, followed by detailed case studies on real-world industrial applications, particularly in the context of smart grid systems. Each chapter is carefully crafted to provide a clear and concise introduction to the relevant theories, followed by practical examples and illustrations that demonstrate how these concepts can be applied in practice.
The text covers a wide range of topics, including distributed control systems, optimization algorithms, power system dynamics, and renewable energy integration. It emphasizes the importance of interdisciplinary collaboration and highlights the role of technology in driving innovation and efficiency in the industrial sector.
By offering a comprehensive and practical guide to industrial automation, the book aims to empower professionals and students alike with the skills and knowledge necessary to thrive in the rapidly evolving field of industrial automation.
Dimension: 234 x 156 (mm)
ISBN-13: 9781032339337
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