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 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: 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.
Perovskite Photovoltaics: Basic to Advanced Concepts and Implementation, Second Edition brings together the latest advances in perovskite photovoltaics, associated challenges and opportunities, and how to achieve further developments. This edition presents new topics and novel areas, including defect engineering, interface engineering, additive engineering, anti-solvents, single crystal perovskite solar cells, inorganic perovskites, optoelectronic characterization, and mathematical modeling of perovskite solar cells. In addition, the book contains a detailed analysis of the implementation and economic viability of perovskite solar cells, highlighting what photovoltaic devices need to be generated by low cost, non-toxic, earth abundant materials using environmentally-scalable processes.This book is a valuable resource for all those with an interest in perovskite solar cells, photovoltaics, and more broadly solar energy and renewable energy, including researchers, scientists, graduate students, engineers, R&D professionals, and other industry personnel.
Distribution System Modeling with Distributed Energy Resources: Local Energy Markets, Aggregators, Grid Services, and Flexibility utilizes a wide range of modeling approaches to support DER integration into the energy grid. The book opens by introducing basic principles and challenges of modern energy systems and the role of DERs in resolving issues, as well as regulatory considerations and frameworks across a variety of distributions. It goes on to demonstrate and evaluate mathematical modeling and optimizing methods, including robust and adaptive robust methods, the two-stage stochastic method, and bi-level optimization approaches.This theory is then applied to a range of test-cases which use the DER aggregator as either price-maker or price-taker, apply Karush-Kahn-Tucker condition, dual theory approaches, and bilateral contacts, TSO-DSO cooperation, and decision-making tools. With a practical, holistic approach, this book supports graduate students, researchers, and industry engineers in energy systems modeling to design sustainable power grids for the future.
Intelligent Data Analytics for Solar Energy Prediction and Forecasting: Advances in Resource Assessment and PV Systems Optimization explores the utilization of advanced neural networks, machine learning and data analytics techniques for solar radiation prediction, solar energy forecasting, installation and maximum power generation. The book addresses relevant input variable selection, solar resource assessment, tilt angle calculation, and electrical characteristics of PV modules, including detailed methods, coding, modeling and experimental analysis of PV power generation under outdoor conditions. It will be of interest to researchers, scientists and advanced students across solar energy, renewables, electrical engineering, AI, machine learning, computer science, information technology and engineers. In addition, R&D professionals and other industry personnel with an interest in applications of AI, machine learning, and data analytics within solar energy and energy systems will find this book to be a welcomed resource.
Microgrid Technology and Microgrid Cluster Development is a comprehensive guide to microgrid systems fundamentals, optimization, control, protection, and energy management.The book explains microgrid architectures that might be combined to create a cluster of microgrids. This is a valuable resource for all those looking to gain a complete understanding of current microgrid and cluster technology, including students, researchers, faculty, R&D professionals, engineers, and other industry personnel with an interest in grid integration, power systems, and renewable energy.The microgrid is first defined as a standalone entity with potential interconnections with external grids. Then, the layout, line technology, and interface technology of potential microgrid cluster topologies are designed, with comparison and analysis of the various microgrid and cluster designs in terms of price, scalability, security, dependability, stability, communications, and business models. Key aspects are covered in detail, including optimization algorithms and the role of machine learning and artificial neural networks, control and protection techniques, and energy management and storage.
Spectral Characteristics of Solar Radiation: Applications in Photovoltaic Conversion brings together the multiple facets of the solar radiation spectrum and its impact on, and interaction with, photovoltaic applications.The first part of the book introduces spectral characteristics of solar radiation, covering various atmospheric factors, measurements, estimation, and modelling techniques. The second section focuses on the application of this knowledge to the design and implementation of photovoltaic devices.This is a valuable resource for researchers, scientists, and graduate students with an interest in solar radiation, measurement, and modelling, solar energy conversion, and photovoltaics, as well as engineers, developers, and technicians involved in the development and operation of photovoltaics and solar power plants.
Intelligent Control in Smart Energy Systems provides a clear and practical guide to the implementation of Artificial Intelligent (AI) techniques in modern, sustainable energy systems. Building from essential theory to advanced application processes, this book outlines the essential challenge of control for renewable and distributed energy sources and applies a range of AI solutions from deep learning, data-driven decision-making, advanced control, and optimization algorithms for smart grids. Case studies and latest results cover control across design, development, and operation of smart energy systems, touching on control in generation, distribution, and supply.Catering to newly interdisciplinary researchers as well as those with a basic understanding of AI technologies, this book supports higher-stage undergraduates, graduate students, researchers, and system engineers in implementing best practice control techniques for a sustainable energy grid.
Hosting Capacity Aspects in Distribution Networks Towards Sustainable Energy Systems is a holistic guidebook to this critical aspect of power systems, and the essential developments required to support the transition to sustainable energy sources. This book begins by establishing fundamental principles of hosting capacity in energy systems. It highlights modern challenges in transitioning to renewable and distributed energy sources, and the key role hosting capacity plays in the planning and operation of a successful system. Later chapters go into detail on a variety of practical hosting capacity calculation methods, and enhancement techniques, alongside available tools and software solutions to hosting capacity problems. Collecting the very latest in this essential, under-collated area, Hosting Capacity Aspects in Distribution Networks Towards Sustainable Energy Systems supports students, researchers, and engineers in planning hosting capacity aspects for successful renewable and sustainable energy systems.