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Books in Electric power systems and networks

  • Renewable-to-Vehicle Smart Charging

    Planning, Modeling, and Load Forecasting for Grid Integration
    • 1st Edition
    • Saleh Aghajan-Eshkevari + 4 more
    • English
    Renewable-to-Vehicle Smart Charging: Planning, Modeling, and Load Forecasting for Grid Integration offering a multidisciplinary approach to integrating electric vehicle charging needs into renewable-powered grids.This book begins with an overview of fundamental technical challenges, tariff mechanisms, and successful implementation examples for renewable-to-vehicle smart charging. Subsequent chapters detail cutting-edge machine learning and Internet-of-Things techniques for load-forecasting and charging resilience, before guiding readers through planning considerations including energy trading methods, fuel-cell vehicles, charging points size and location, and uncertainty modeling.Combining a step-by-step grounding in key challenges and opportunities with practical case studies in the latest ML and AI technologies, Renewable-to-Vehicle Smart Charging: Planning, Modeling, and Load Forecasting for Grid Integration will support students, researchers, and engineers in integrating electric vehicle charging to the renewable-based grids of the future.

  • Flexibility-Oriented Operation of Integrated Power and Gas Networks and Low-Carbon Technologies Under Clean Energy Transition

    • 1st Edition
    • Mohammad Taghi Ameli + 6 more
    • English
    Flexibility-Oriented Operation of Integrated Power and Gas Networks and Low-Carbon Technologies Under Clean Energy Transition examines the critical role that integrated gas and electricity networks play in achieving a sustainable, low-carbon energy future. Sections cover innovative low-carbon technologies, such as hydrogen and ammonia, while addressing synthesis, storage, and transportation hurdles. Its detailed content covers the flexibility of coupled gas and electricity networks, operational strategies for achieving net-zero carbon emissions, and intelligent methods for assessing network adaptability. Users will find a conceptual overview of decarbonization efforts for integrated energy systems and discussions on the feasibility of integrating artificial intelligence (AI) in these processes. Further, the book discusses the decoupling of emissions from economic growth, the role of negative emission technologies (NETs), and the application of innovative energy solutions such as gas carbon capture and storage (CCS) and hydrogen production. Case studies illustrate successful implementations of integrated networks worldwide, highlighting challenges and key lessons learned. It not only highlights the urgent need for flexibility in these interconnected systems, particularly through demand-side management and energy storage systems, but also addresses the pressing challenges posed by climate change and the transition away from fossil fuels.

  • Advanced Energy Management

    Digitalization and AI for the Internet of Energy
    • 1st Edition
    • Yuekuan Zhou
    • English
    Advanced Energy Management: Digitalization and AI for the Internet of Energy explores recent advancements in distributed renewable systems, advanced controls, and energy management of nonlinear energy behaviors. The book addresses energy resilience amid extreme climates and events, presenting new applications for energy-efficient, low-carbon, and reliable cities. It details the role of AI in renewable energy systems, including power dispatch, fast response, dynamic aging, and techno-economic performance. This introduction provides a comprehensive overview of AI applications in renewable energy systems. The book delves into the interconnection between climate change and multi-energy systems, big data's role in sustainable energy supply, and much more.It also covers demand-side management, grid-response controls in Integrated Energy Management Systems (IEMSs), and Energy Management Systems (EMSs) in integrated energy systems and power grids with AI. Additionally, the book reviews peer-to-peer and blockchain-based energy sharing, dynamic pricing, decision-making in distributed energy markets, city-scale energy resilience, and robustness with distributed energy systems. Ethical, regulatory, and policy considerations of AI in energy management and detailed Sustainability and Environmental Impact Analyses are discussed.

  • Flexible DC Traction Power Supply System in Urban Rail Transit

    Design, Operation and Control
    • 1st Edition
    • Chao Lu + 4 more
    • English
    Flexible DC Traction Power Supply Systems in Urban Rail Transit: Design, Operation and Control is an essential guide on the cutting-edge of the field that clarifies the current standard for power converters, traction control, and energy systems for rail transport before introducing basic concepts, configurations, and opportunities for flexible DC traction power supply systems. Other sections provide a detailed guide to operating principles and core functions in comparison to traditional diode rectifier-based traction power supply systems. This is a critical resource for energy and electrical engineers, researchers, and students developing the sustainable infrastructure of the future.Key techniques are analyzed with attentive reference to rail application context and appropriate case studies. The book closes with two full chapters of novel case studies from China that support practical application and further development by readers. Working from foundational principles to real-world applications.

  • Design Reliability and Maintainability of Energy Systems

    • 1st Edition
    • Fausto Pedro Garcia Marquez + 2 more
    • English
    Designing reliable and maintainable energy systems is crucial for ensuring efficiency, longevity, and sustainability in energy production, distribution, and consumption. Reliability focuses on minimizing failures and ensuring continuous operation under varying conditions, while maintainability emphasizes ease of inspection, repair, and upgrades. A well-designed energy system integrates robust components, predictive maintenance strategies, and advanced monitoring technologies to reduce downtime and operational costs. By prioritizing both reliability and maintainability, engineers can develop resilient energy infrastructures that support modern demands while minimizing environmental impact and lifecycle costs.Designing Reliability and Maintainability of Energy Systems is a guide to enhancing the resilience and reliability of modern energy infrastructures. Chapters present fundamental principles of reliability and resilience and new artificial intelligence applications, such as predictive maintenance, advanced analytics, and digital twin technologies for improved efficiency and sustainability in energy systems. Clear chapter objectives, worked problems, and case studies are included to demonstrate real-world applications of these technologies.This book is valuable for researchers, industry professionals, engineers, and advanced undergraduate and graduate students focused on energy grids, power system reliability, and AI-driven solutions for sustainable infrastructure.

  • Hybrid AC/DC Microgrids

    Optimization, Energy Management, and Protection
    • 1st Edition
    • Sayed Abulanwar + 4 more
    • English
    Hybrid AC/DC Microgrids: Optimization, Energy Management, and Protection is a practical and holistic guide to the opportunities and challenges of this essential energy system technology. The book builds from fundamental concepts of design and operation management to recent advances and specific, practical scenarios. Combining both power management and quality control with real-world risk assessments, the book's chapters cover power generation options, including wind, solar, and hydrogen. Modeling techniques, fault detection, and protection via both physical and AI methods are included and demonstrated, along with clearly formatted case studies, objectives, and worked problems to support reader understanding. Including guidance for protection and resilience in both normal and abnormal conditions, this book prepares students, researchers, and industry engineers to design and maintain energy grids that will weather climate change and support a clean energy future.

  • Artificial Intelligence-Based Renewable Energy Systems

    Standards, Communication Systems, and Data Networks
    • 1st Edition
    • Kashif Naseer Qureshi + 1 more
    • English
    Artificial Intelligence-based Renewable Energy Systems: Standards, Communication Systems, and Data Networks provides a comprehensive guide to integrating AI into renewable energy systems, addressing both fundamental principles and practical applications. Sections explore the evolution of AI in energy-efficient systems, advanced applications, architectural frameworks, standards, and distributed renewable energy networks while also delving into data communication systems, including networking protocols, advanced learning techniques, blockchain applications, big data analytics, green communication solutions, cybersecurity, and privacy challenges. Combining theoretical foundations with practical insights, this book offers students, researchers, and engineers a holistic perspective on AI communication and data networks for renewable energy systems.

  • Advanced Analytics for Reliability and Resilience of Energy System

    • 1st Edition
    • Fausto Pedro Garcia Marquez + 2 more
    • English
    Advanced Analytics for Reliability and Resilience of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. This book provides a clear foundation in the fundamentals of power systems, statistics, and reliability, including resilience principles and strategies, practical applications, and real-world solutions. The AI tools presented range across forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outages, minimise disruption, and accurately assess system resilience. Including case studies and details methodology for practical techniques, Advanced Analytics for Reliability and Resilience of Energy Systems helps energy systems engineers and researchers to provide a stable and consistent power supply, in the face of climate change challenges and the energy transition

  • Advanced Grid Technologies, Volume 1

    Grid Evolution, Smart Grid Fundamentals, and Renewable Energy Integration
    • 1st Edition
    • Haris M. Khalid + 1 more
    • English
    Advanced Grid Technologies: Grid Evolution, Smart Grid Fundamentals, and Renewable Energy Integration, Volume One provides a coherent, practical introduction to the innovative, modern techniques required to integrate renewable energy into power grids. The book focuses on the basic history of the grid, fundamental aspects of grid management, and the challenges set by renewable integration. It begins by outlining the history of the modern energy grid before providing a comprehensive overview of renewable energy sources, the challenges their use present for typical energy grids, and the fundamentals of modern smart adaptations.Specific major challenges are broken down into fundamentals, including electric vehicles and vehicle-to-grid, energy storage, intelligent electronic device-based substations, and demand forecasting for energy stability. Including a variety of numerical examples and working from early principles for each topic, this book provides late-stage undergraduate and graduate students in energy systems and power engineering, as well as engineers working to modernize the power grid, with a fundamental resource for renewable energy integration.

  • Energy Communities

    Fundamentals, Technologies, and Emerging Trends
    • 1st Edition
    • Carlos Cruz de la Torre + 3 more
    • English
    Energy Communities: Fundamentals, Technologies, and Emerging Trends provides a comprehensive guide to understanding, designing, and optimizing energy communities, with step-by-step breakdowns of the technical, economic, and practical principles at play. This book opens by examining the key agents, models, and impacts of energy communities, including infrastructure, generation, and storage technologies. Part II delves into economic considerations, discussing legislative frameworks, barriers, greenwashing risks, and support mechanisms. Part III focuses on complex practical arrangements, providing cutting-edge, detailed case studies examining collective assets and cost-sharing mechanisms. Finally, Part IV addresses energy management and dispatch, highlighting demand and storage technologies utilizing deep learning, big data, and digital twin technology. With its holistic perspective, blending theoretical insights with practical blueprints and real-world case studies, Energy Communities: Fundamentals, Technologies, and Emerging Trends is an essential resource for students, engineers, and academics designing decentralized energy systems to enable renewable energy integration, and future-proof the power infrastructure.