Books in Electric power systems and networks

1-10 of 48 results in All results

Cyber-Physical Structures of Power Applications

• 1st Edition
• July 1, 2025
• Frede Blaabjerg + 3 more
• English
• Paperback 978-0-323-90229-8

  9 7 8 - 0 - 3 2 3 - 9 0 2 2 9 - 8
• eBook 978-0-323-90230-4

  9 7 8 - 0 - 3 2 3 - 9 0 2 3 0 - 4

Cyber-Physical Structures of Power Applications looks at the necessary cyber-physical structures for the proper operation of power applications and the challenges and future trends of cyber-physical power applications. This reference considers the coordination and control of power applications necessary for successful implementation of communication networks, as well as the effects on power application physical components, cyber-infrastructures, and controllers. The book also previews challenges (e.g., vulnerability to cyber-attacks) and future trends of cyber structures in control strategies in both large and small power systems.

Enhancing Resilience in Distribution Systems

• 1st Edition
• July 1, 2025
• Fangxing Fran Li + 2 more
• English
• Paperback 978-0-443-23640-2

  9 7 8 - 0 - 4 4 3 - 2 3 6 4 0 - 2
• eBook 978-0-443-23639-6

  9 7 8 - 0 - 4 4 3 - 2 3 6 3 9 - 6

Enhancing Resilience in Distribution Systems presents practical guidance for readers on the challenges and potential solutions for resilience in modern power systems. The book begins by explaining the risks and problems for resilience presented by renewable-based power systems. It goes on to clarify the current state of research and propose several novel methodologies and technologies for analysis and improvement of power system resilience. These methods include deep learning, linear programming, and generative adversarial networks.Packed with practical steps and tools for implementing the latest technologies, this book provides researchers and industry professionals with guidance on the resilient systems of the future.

Internet-of-Things Cybersecurity in Critical Infrastructures

• 1st Edition
• July 1, 2025
• Monika Freunek
• English
• Paperback 978-0-443-23936-6

  9 7 8 - 0 - 4 4 3 - 2 3 9 3 6 - 6
• eBook 978-0-443-23937-3

  9 7 8 - 0 - 4 4 3 - 2 3 9 3 7 - 3

Internet-of-Things Cybersecurity in Critical Infrastructures: Case Studies in Energy Systems takes readers from the basic principles of cybersecurity in essential public infrastructure to the specific requirements of energy systems connected to the Internet-of-Things. This book provides a holistic approach to the challenges (legal, technological, and human) of AI and IOT integration for renewable, modern energy infrastructure. It outlines the fundamental challenges and technologies of cybersecurity for essential infrastructure and goes on to apply this specifically to energy grids and systems, in the light of the ML, AI, and IOT technologies required for renewable integration.Case studies are provided to ensure the reader is fully equipped to problem-solve and apply the knowledge in the development and planning of secure energy infrastructure. Packed with a wealth of practical experience and guidance, this book is a critical resource for energy system engineers looking for a primer on the cybersecurity needs of connected, renewable-integrated energy infrastructure.

Case Studies in Energy Systems

• 1st Edition
• June 1, 2025
• Vincenzo Bianco + 1 more
• English
• Paperback 978-0-443-23863-5

  9 7 8 - 0 - 4 4 3 - 2 3 8 6 3 - 5
• eBook 978-0-443-23864-2

  9 7 8 - 0 - 4 4 3 - 2 3 8 6 4 - 2

Case Studies in Energy Systems: A Practical Approach to Energy System Design and Analysis demonstrates the application of both fundamental and advanced principles by providing a broad range of case studies, examples, and models. Opening with a clear summary of the foundational theory, this book then presents a selection of case studies based on the experience of experts. Examples are analyzed in a holistic context, considering environmental, economic, and technological aspects. Finally, the authors have provided models, codes, and calculation spreadsheets where appropriate, allowing readers to test the tools for themselves.Equipping researchers and advanced students for the transition to industry practice, this book is a guide to real-world problem-solving for the energy future.

The Agricultural Energy Internet

• 1st Edition
• April 1, 2025
• Xueqian Fu + 1 more
• English
• Paperback 978-0-443-27562-3

  9 7 8 - 0 - 4 4 3 - 2 7 5 6 2 - 3
• eBook 978-0-443-27563-0

  9 7 8 - 0 - 4 4 3 - 2 7 5 6 3 - 0

The Agricultural Energy Internet: Theories, Methods, and Future Prospects provides a pioneering guide to the grid integration and impact of agricultural energy systems for a distributed and sustainable power grid. This book begins with an introduction to the fundamental concept, followed by a comprehensive safety analysis considering crop physiological characteristics. Subsequent chapters delve into enhancing the synergy of agriculture, energy, and environment through carbon monitoring, optimal management strategies for rural microgrids, and distributed energy planning. Later chapters cover system design insights, load modeling and control strategies, and AI-based tools. Designed for engineers, students, and researchers, The Agricultural Energy Internet collates the state of the research and provides detailed case studies and practical applications, making it indispensable for those innovating in sustainable energy systems.

Towards Future Smart Power Systems with High Penetration of Renewables

• 1st Edition
• February 1, 2025
• Marcos Tostado-Véliz + 4 more
• English
• Paperback 978-0-443-29871-4

  9 7 8 - 0 - 4 4 3 - 2 9 8 7 1 - 4
• eBook 978-0-443-29872-1

  9 7 8 - 0 - 4 4 3 - 2 9 8 7 2 - 1

Towards Future Smart Power Systems with High Penetration of Renewables: Emerging Technologies, New Tools, and Case Studies explores the latest tools and approaches for smart power systems with high-scale integration of renewable energy, covering technology, optimization, control, forecasting, and market structures. The first section of the book on emerging technologies and energy vectors identifies some of the most prominent energy carriers in future power systems, and discusses the implications of different energy technologies as well as their advantages and disadvantages. This is followed by a section focusing on new markets, businesses and structures, discussing how such energy carriers should be managed within existing or future market structures, and discussing the different opportunities and challenges bought by renewable technologies. The third part of the book analyzes real projects and case studies, offering steps forward in the large-scale integration of renewable energy in existing power systems. Finally, the fourth section examines optimization and control for power systems with renewables. covering the needs of future power systems regarding their optimization and control and describing some of the new tools required, with an emphasis on planning, management and forecasting in future power systems. Drawing on real examples, case studies, computational tools, and analysis, this book is a valuable resource for all those with an interest in renewable energy integration and smart power systems, including students, researchers, faculty, engineers, R&D, industry personnel, and policy makers.

Green Machine Learning and Big Data for Smart Grids

• 1st Edition
• November 13, 2024
• V. Indragandhi + 2 more
• English
• Paperback 978-0-443-28951-4

  9 7 8 - 0 - 4 4 3 - 2 8 9 5 1 - 4
• eBook 978-0-443-28952-1

  9 7 8 - 0 - 4 4 3 - 2 8 9 5 2 - 1

Green Machine Learning and Big Data for Smart Grids: Practices and Applications is a guidebook to the best practices and potential for green data analytics when generating innovative solutions to renewable energy integration in the power grid. This book begins with a solid foundation in the concept of “green” machine learning and the essential technologies for utilizing data analytics in smart grids. A variety of scenarios are examined closely, demonstrating the opportunities for supporting renewable energy integration using machine learning, from forecasting and stability prediction to smart metering and disturbance tests.Uses for control of physical components including inverters and converters are examined, along with policy implications. Importantly, real-world case studies and chapter objectives are combined to signpost essential information, and to support understanding and implementation.

The Sustainable Power Grid

• 1st Edition
• October 22, 2024
• Brian D’ Andrade
• English
• Paperback 978-0-443-13442-5

  9 7 8 - 0 - 4 4 3 - 1 3 4 4 2 - 5
• eBook 978-0-443-13441-8

  9 7 8 - 0 - 4 4 3 - 1 3 4 4 1 - 8

The Sustainable Power Grid provides a breakdown of the different challenges faced by power grid modernization and presents practical approaches to tackle them. The technologies, case studies, and applications are presented from the perspective of engineering consultants who participate in major grid-related disasters and perform detailed forensic investigations that support the evolution of sustainable power quality.Chapters discuss key issues surrounding extreme weather, power quality, new technologies, and power converters. This book also outlines a quantitative risk-based framework for asset health assessment of overhead lines, along with engineering and environmental considerations. Concluding with a deep dive into energy storage, topics consist of energy storage system protection, condition monitoring, and emerging technologies.Completely practical in nature, this is a valuable resource for engineers in the electrical power industry and offers students and researchers applied content in the latest power grid technologies.

Cyber Security Solutions for Protecting and Building the Future Smart Grid

• 1st Edition
• October 8, 2024
• Divya Asija + 3 more
• English
• Paperback 978-0-443-14066-2

  9 7 8 - 0 - 4 4 3 - 1 4 0 6 6 - 2
• eBook 978-0-443-14067-9

  9 7 8 - 0 - 4 4 3 - 1 4 0 6 7 - 9

Cyber Security Solutions for Protecting and Building the Future Smart Grid guides the reader from the fundamentals of grid security to practical techniques necessary for grid defense. Through its triple structure, readers can expect pragmatic, detailed recommendations on the design of solutions and real-world problems. The book begins with a supportive grounding in the security needs and challenges of renewable-integrated modern grids. Next, industry professionals provide a wide range of case studies and examples for practical implementation.Finally, cutting-edge researchers and industry practitioners guide readers through regulatory requirements and develop a clear framework for identifying best practices. Providing a unique blend of theory and practice, this comprehensive resource will help readers safeguard the sustainable grids of the future.

Applications of Deep Machine Learning in Future Energy Systems

• 1st Edition
• August 20, 2024
• Mohammad-Hassan Khooban
• English
• Paperback 978-0-443-21432-5

  9 7 8 - 0 - 4 4 3 - 2 1 4 3 2 - 5
• eBook 978-0-443-21431-8

  9 7 8 - 0 - 4 4 3 - 2 1 4 3 1 - 8

Applications of Deep Machine Learning in Future Energy Systems pushes the limits of current Artificial Intelligence techniques to present deep machine learning suitable for the complexity of sustainable energy systems. The first two chapters take the reader through the latest trends in power engineering and system design and operation before laying out current AI approaches and limitations. Later chapters provide in-depth accounts of specific challenges and the use of innovative third-generation machine learning, including neuromorphic computing, to resolve issues from security to power supply.An essential tool for the management, control, and modelling of future energy systems, this book maps a practical path towards AI capable of supporting sustainable energy.