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Books in Electric power systems and networks

  • Stochastic Planning and Modeling for Energy Systems

    Methods, Applications, and Developments
    • 1st Edition
    • August 1, 2026
    • Miadreza Shafie-khah
    • English
    Stochastic Planning and Modeling for Energy Systems: Methods, Applications, and Developments acts as a comprehensive resource on both modeling and planning techniques for stochastic methods in power systems, spanning from scenario generation and reduction to investment and operational planning under uncertainty. Chapters demonstrate modeling systems with multiple, interacting uncertainties, load, renewables, network constraints, prices, and how to use these models for robust investment and operational planning. Methods, applications, and the latest developments, including stochastic methods to generation, distribution, capacity investment, DER siting, and demand-side flexibility, especially under high shares of renewables and EVs are presented.Additional... real-world planning challenges, including capacity expansion, microgrid design, and integration of new technologies like hydrogen, batteries, and supercapacitors are examined. Real-world case studies and algorithms are included to demonstrate stochastic workflows and methods. This is a valuable reference for transmission and distribution operators, system planners, market designers, power-system engineers, energy analysts, and MSc-level graduate students in power systems engineering.

  • Renewable-to-Vehicle Smart Charging

    Planning, Modeling, and Load Forecasting for Grid Integration
    • 1st Edition
    • August 1, 2026
    • 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.

  • Tidal Energy Systems

    Design, Optimization and Control
    • 2nd Edition
    • August 1, 2026
    • Vikas Khare + 3 more
    • English
    Tidal Energy Systems: Design, Optimization, and Control, Second Edition reflects the rapid transformation in the energy sector being driven by technological innovations, environmental challenges, and market dynamics. The book covers artificial intelligence applications for design and optimization, advanced data analysis techniques, and integration with smart grids while also addressing sustainability and efficiency. By focusing on interdisciplinary aspects, the book serves as a crucial resource for understanding the complexities of designing, optimizing, and controlling tidal energy infrastructures. It explores a variety of critical areas, including fundamentals, prefeasibility analysis, optimum sizing and modeling, control systems, and reliability assessments of tidal power plants.It also emphasizes the role of artificial intelligence and data analysis in enhancing the performance and maintenance of tidal energy systems. Other significant topics include decision science and operational management, providing readers with a holistic view of the tidal energy sector and the tools necessary for effective implementation and management of tidal energy projects.

  • Next-Generation Microgrids

    Components, Control Algorithms, and Design
    • 1st Edition
    • July 1, 2026
    • Olubayo Moses Babatunde + 1 more
    • English
    Next-Generation Microgrids: Components, Control Algorithms, and Design guides engineers or students through the design, control, and operation of microgrids, integrating cutting-edge techniques and technologies with pragmatic implementation advice. This book begins by breaking down the fundamental principles of microgrid technology, before detailed discussions on microgrid design and the integration of distributed energy resources. Subsequent chapters investigate optimization, energy storage systems, advanced power electronics, and critical power quality enhancement strategies. Using a multidisciplinary approach that includes practical questions such as regulatory guidance and communication and networking technology, the book provides everything a reader needs to maximise the sustainability impact of microgrids. Bridging the gap between fundamental concepts and advanced practical applications, Next-Generation Microgrids: Components, Control Algorithms, and Design is an essential resource for the students, researchers, and industry professionals responsible for developing and implementing this technology in the grids of the future.

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

    • 1st Edition
    • June 1, 2026
    • 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
    • June 1, 2026
    • 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.

  • Hybrid AC/DC Microgrids

    Optimization, Energy Management, and Protection
    • 1st Edition
    • May 1, 2026
    • Sayed Abulanwar + 5 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.

  • Design Reliability and Maintainability of Energy Systems

    • 1st Edition
    • May 1, 2026
    • 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.

  • Flexible DC Traction Power Supply System in Urban Rail Transit

    Design, Operation and Control
    • 1st Edition
    • May 1, 2026
    • 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.

  • Artificial Intelligence-Based Renewable Energy Systems

    Standards, Communication Systems, and Data Networks
    • 1st Edition
    • March 20, 2026
    • 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.