Bøker i Power Systems-serien

This book focuses on the theory and application of power switching components in power networks.

The lack of effective DC fault protection technology remains a major barrier for the DC paradigm shift. In addressing the key challenges, Direct Current Fault Protection: Basic Concepts and Technology Advances starts with an introduction to the advantages of DC power systems before moving on to an in-depth review of DC fault protection technologies, including mechanical circuit breaker (MCB), solid-state circuit breaker (SSCB), hybrid circuit breaker (HCB), converter based (breakerless) protection, and fault current limiter (FCL). Coverage includes a comprehensive comparison of various DC fault interruption technologies and their suitable applications, state-of-the-art DC fault protection concepts and advances in research, identification of fundamental challenges and future directions in the field, and commercialization aspects. This book will be a valuable reference for practicing engineers, researchers, and graduate students in the field of power electronics andDC power systems.

AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties.¿Covers renewable energy sector fundamentals;Explains the application of big data in distributed energy domains;Discusses AI and IoT prediction methods and models.

Energy Systems Transition: Digitalization, Decarbonization, Decentralization, and Democratization provides a thorough multidisciplinary overview of the operation of modern green energy systems and examines the role of 4D energy transition in global decarbonization mitigation efforts for meeting long-term climate goals. Contributions present practical aspects and approaches with evidence from applications to real-world energy systems, offering in-depth technical discussions, case studies, and examples to help readers understand the methods, current challenges, and future directions. A hands-on reference to energy distribution systems, it is suitable for researchers and industry practitioners from different branches of engineering, energy, data science, economics, and operation research.

This book provides a thorough overview of the concept of whole energy systems and the role of vector-coupling technologies (VCTs) in meeting long-term decarbonization strategies. It is the first comprehensive reference that provides basic definitions and fundamental, applicable approaches to whole energy systems analysis and vector-coupling technologies in a multidisciplinary way. Whole Energy Systems presents practical methods with evidence from applications to real-world and simulated coupled energy systems. Sample analytical examples are provided to aid in the understanding of the presented methods. The book will provide researchers and industry stakeholders focused on whole energy systems, as well researchers and developers from different branches of engineering, energy, economics, and operation research, with state-of-the-art coverage and the latest developments in the field.

This book presents the latest research on switching control, adaptive switching control, and their applications in the transient stability control and analysis of large-scale complex power systems. In large-scale complex power systems, renewable power generators, flexible power electronics converters, and distributed controllers are widely employed. Due to the poor overcurrent tolerance capability of power electronics converters and lacking of coordination mechanism, stability control in events, such as natural disasters, cascaded faults, and severe disturbances, is viewed as the key challenge in the operation of these systems. High-performance self-coordinated controllers are needed for the control of important power sources and power electronics converters. Adaptive switching controllers are a group of controllers designed by the authors for the control of various renewable power generators, synchronous generators, and modular multilevel converters. These controllers operate in a self-coordinated manner and aim to employ the largest transient control energy of converters and power sources. Imbalance between power generation and consumption is largely filled by the application of these controllers, and transient stability of power systems can be significantly improved. This book covers both the preliminary knowledge and key proofs in the design and stability analysis of adaptive switching control systems, and considerable simulation and experimental results are presented to illustrate the application and performance of the controllers. This book is used as a reference book for researchers and engineers in fields of electrical engineering and control engineering.

This book focuses on building air conditioning demand response and power storage batteries as the resources that make up the virtual power plant. The research and its outcomes presented in this book provide an overview of virtual power plant technology. The contents focus on both fundamentals and advanced topics such as role of central power supply control office, battery charge and discharge control system, power system simulation, system design for practical application, etc. This is a highly informative and carefully presented book, providing insight to students, engineers, and researchers in the field of power systems

This book covers modeling, control and stability aspects of hybrid AC/DC power networks. More specifically, this book provides an in-depth analysis of the stability and control aspects of hybrid AC/DC power grids, with comprehensive coverage of theoretical aspects of conventional stability issues (e.g., small-signal stability, voltage stability and frequency stability), emerging stability issues (e.g., converter associated stability) and control strategies applied in this emerging hybrid AC/DC power grids. This book takes a more pragmatic approach with a unique compilation of timely topics related to hybrid AC/DC networks compared with other books in this field. Therefore, this book provides the reader with comprehensive information on modeling, control and stability aspects which need to consider when modeling and analysis of hybrid AC/DC power grids for power system dynamics and stability studies. Each chapter provides fundamental stability theories, some worked examples and case studies to explain various modeling, analysis and control concepts introduced in the chapter. Therefore, postgraduate research students, power system researchers and power system engineers benefit from the materials presented in this book and assist them to model and device new control strategies to overcome the stability challenges of the emerging hybrid AC/DC power grid.

It brings together an authoritative group of specialists who approach the subject from a number of different viewpoints in the electric power industry, including electricity distribution companies, aggregators, power market retailers, and power generation companies.

Artificial intelligence (AI) is going to play a significant role in smart grid planning and operation, especially in solving its real-time problems, as it is fast, adaptive, robust, and less dependent on the system's accurate model and parameters.

Online material available

Part I: Advanced Numerical Methods.- Advanced Numerical Methods for Equations, Systems Equations and Optimization.- Analysis of Partial Differential Equations in Time Dependent Problems using Finite Difference Methods and the Applications on Engineering.- Theoretical Approaches of Finite Elements Method (FEM).- Advanced Numerical Methods Based on Artificial Intelligence.- Numerical Methods for Solving Nonlinear Equations.- Theoretical Approach to Element Free Galerkin Method and its Mathematical Implementation.- Theoretical Approach to Chebyshev Spectral Collocation Method and its Mathematical Implementation.- Advanced Numerical Methods Based on Optimization.- Posed Inverse Problems in Electrical Engineering Applications.- Part II: Advanced Energy Systems.- An Advanced Energy Systems Based on Energy Hub Concept.- Sustainable Energy Systems Based on the Multi-Energy Sources.- Modeling of Energy Systems for Smart Homes.- Finite Volume Method Used for Numerical Investigations of Electrochemical Devices.- Night Operation of a Solar Chimney Integrated with Spiral Heat Exchanger.- Incorporating of IPFC in Multi-Machine Power System Phillips-Heffron Model.- Techno-Economical Analysis of Energy Storage Systems in Conventional Distribution Networks.- OPAL-RT Technology Used in Automotive Applications for PEMFC.- Part III: Numerical Energy Applications.- Theoretical Techniques for the Exploration of Piezoelectric Harvesters.- Numerical Analysis  of Electromagnetic Fields.- Optimization Methods for Wireless Power Transfer.- Numerical Assessment of Electromagnetic Energy and Forces in Non-Destructive Measurement Devices.- Optimal Integration of Electric Vehicles in Smart Grid Energy Flow.- Numerical Approaches of Biomass Plants Efficiency.- Power and Energy Flow in Cvasi-Stationary Electric and Magnetic Circuits.- Numerical Methods for Analysis of Energy Consumption in Drying Process of Wood.- Design and Energy Efficiency Analysis for Fuel Cell Hybrid Electric Vehicle.- Finite Element Solutions for Magnetic Shielding Power Applications.- Regression Analysis-Based Load Modelling for Electric Distribution Networks.- Finite Element Analysis of Electromagnetic Fields Emitted by Overhead High-Voltage Power Lines.- Design and Finite Element Analysis of Permanent Magnet Synchronous Generator for Wind Turbine.- Power and Energy System Modeling Based on Modified Tellegen Principle.- Self-Tuning Yaw Control Strategy of a Horizontal Axis Wind Turbine based on Machine Learning.- Numerical Methods of the Electric Power Flow in Interconnected Systems.