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Elsevier

Books in Electric power

This portfolio covers the generation, transmission, and distribution of electric power, including grid management, smart grids, and emerging technologies. Supporting researchers, engineers, and policymakers, it features cutting-edge innovations, system optimization, and reliability studies. With a focus on sustainability and efficiency, these resources address challenges in modern power systems, integrating renewable sources and smart technologies to ensure resilient and sustainable electricity supply for society.

  • Distributed Energy Storage Systems for Digital Power Systems

    • 1st Edition
    • Sivaraman Palanisamy + 1 more
    • English
    Distributed Energy Storage Systems for Digital Power Systems offers detailed information of all aspects of distributed energy resources and storage systems, and their integration into modern, digital power systems, supporting higher power systems operational flexibility towards 100% renewable energy integration. Covering fundamentals, analysis, design, and operation, and supported by examples and case studies, the book also examines many new advances in terms of distributed energy storage systems for DER integration, dynamically varying loads of EV charging stations, power quality enhancements, and ancillary services.This is a valuable resource for researchers, scientists, and graduate students in energy storage, renewable energy, power systems, and engineering, as well as engineers, R&D, and other industry personnel working with renewable energy systems, energy storage, demand response, and microgrids.

  • Green Machine Learning and Big Data for Smart Grids

    Practices and Applications
    • 1st Edition
    • V. Indragandhi + 2 more
    • English
    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.

  • Grid-Forming Converters

    Principles, Control, and Applications in Modern Power Systems
    • 1st Edition
    • Jingyang Fang + 4 more
    • English
    Grid-Forming Converters: Principles, Control, and Applications in Modern Power Systems is a pioneering guidebook to this state-of-the-art technology and its potential in enabling more-electronics grids and deep renewable integration for the energy systems of the future. Beginning with a clear explanation of the challenges presented for the standard synchronous generator or grid-tied converters by fossil-fuel phase-out and renewable integration, this book goes on to explain the fundamental concepts of grid-forming converters.Having established a solid foundational understanding the reader will learn practical techniques for implementation including design, control, analysis, and optimization. Finally, readers tackle case studies and example applications from energy storage to electric vehicles. From several of the foremost experts and educators in energy systems and power electronics, Grid-Forming Converters is an essential tool for students, professors and engineers working to make renewable-based grids a reality.

  • The Sustainable Power Grid

    Challenges, Applications, and Case Studies
    • 1st Edition
    • Brian D’ Andrade
    • English
    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.Complet... 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
    • Divya Asija + 3 more
    • English
    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.Final... 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.

  • Computer Vision and Machine Intelligence for Renewable Energy Systems

    • 1st Edition
    • Ashutosh Kumar Dubey + 5 more
    • English
    Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier’s cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids.

  • Applications of Deep Machine Learning in Future Energy Systems

    • 1st Edition
    • Mohammad-Hassan Khooban
    • English
    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.

  • Future Power System Elements, Challenges, and Solutions

    • 1st Edition
    • Gevork B. Gharehpetian + 2 more
    • English
    Future Power System Elements, Challenges, and Solutions synthesizes essential knowledge of power system challenges into a single volume. Ideal for researchers, engineers, and students in power systems, this book supports readers from initial understanding to design and implementation.This book begins with the fundamental history, policies, and long-term needs of a sustainable energy system. A detailed analysis helps evaluate the challenges specific to distribution, generation, and transmission systems, preparing readers to understand the criteria for strong solutions. The final chapters break down potential solutions for each area in turn, offering a chance to develop your own approach. Readers can build understanding of generation technologies from distributed generation to fuel cells, transmission systems including HVDC systems and FACTS devices, and distribution solutions from microgrids to Energy Storage Solutions (ESS).Providing in-depth analysis of the biggest challenges currently facing the industry, Future Power System Elements, Challenges, and Solutions enables researchers, industry engineers and students to generate solutions for the power systems of the future.

  • Plant Intelligent Automation and Digital Transformation Volume II

    MIS and HW-SW Implementation
    • 1st Edition
    • Swapan Basu
    • English
    Plant Intelligent Automation and Digital Transformation: Volume II: Control and Monitoring Hardware and Software is an expansive four volume collection that reviews every major aspect of the intelligent automation and digital transformation of power, process and manufacturing plants, including specific control and automation systems pertinent to various power process plants using manufacturing and factory automation systems. The volume reviews the key role of management Information systems (MIS) in plant automation in systemic digitalization, covering hardware and software implementations for embedded microcontrollers, FPGA and operator and engineering stations.Chapters address plant lifecycle considerations, inclusive of plant hazards and risk analysis. Finally, the book discusses industry 4.0 factory automation as a component of digitalization strategies as well as digital transformation of power plants, process plants and manufacturing industries.

  • Vehicle Electrification in Modern Power Grids

    Disruptive Perspectives on Power Electronics Technologies and Control Challenges
    • 1st Edition
    • Vitor Monteiro + 2 more
    • English
    Vehicle Electrification in Modern Power Grids: Disruptive Perspectives on Power Electronics Technology and Control Challenges collects the newest advances in technology for electric vehicle integration into one practical volume for professionals and advanced researchers. The book not only summarizes and clarifies legislation and grid codes for the area, but also outlines the modeling and analytical techniques needed, including predicting power converter reliability and its remaining useful life. Specializing in microgrid clusters, the book provides advanced power electronics device technology from wide-band-gap (WBG) to DSP-based digital control platforms and new materials for passive filters.Blending cutting-edge research and practical technology, this book provides a centralized resource for advanced researchers and engineers looking to accelerate vehicle electrification in the power grid.

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