Yonghua Song – författare

The capability of effectively analyzing complex systems is fundamental to the operation, management and planning of power systems. This book offers broad coverage of essential power system concepts and features a complete and in-depth account of all the latest developments, including Power Flow Analysis in Market Environment; Power Flow Calculation of AC/DC Interconnected Systems and Power Flow Control and Calculation for Systems Having FACTS Devices and recent results in system stability.

Reliable Non-Parametric Techniques for Energy System Operation and Control: Fundamentals and Applications of Constraint Learning and Safe Reinforcement Learning Methods, a new Volume in the Advances in Intelligent Energy Systems, is a comprehensive guide to modern smart methods in energy system operation and control. This book covers fundamental concepts and applications in both deterministic and uncertain environments. It addresses the challenge of accuracy in imbalanced datasets and the limitations of measurements. The book delves into advanced topics such as safe reinforcement learning for energy system control, including training-efficient intrinsic-motivated reinforcement learning, and physical layer-based control, and more. Other chapters cover barrier function-based control and CVaR-based control for systems without hard operation constraints. Designed for graduate students, researchers, and engineers, this book stands out for its practical approach to advanced methods in energy system control, enabling sustainable developments in real-world conditions.Bridges the gap between theory and practice, providing essential insights for graduate students, researchers, and engineersIncludes visual elements, data and code, and case studies for easy understanding and implementationProvides the latest release in the Advances in Intelligent Energy Systems series, bringing together the latest innovations in smart, sustainable energy

Reliable Non-Parametric Techniques for Energy System Operation and Control: Fundamentals and Applications of Constraint Learning and Safe Reinforcement Learning Methods, a new Volume in the Advances in Intelligent Energy Systems, is a comprehensive guide to modern smart methods in energy system operation and control. This book covers fundamental concepts and applications in both deterministic and uncertain environments. It addresses the challenge of accuracy in imbalanced datasets and the limitations of measurements. The book delves into advanced topics such as safe reinforcement learning for energy system control, including training-efficient intrinsic-motivated reinforcement learning, and physical layer-based control, and more. Other chapters cover barrier function-based control and CVaR-based control for systems without hard operation constraints. Designed for graduate students, researchers, and engineers, this book stands out for its practical approach to advanced methods in energy system control, enabling sustainable developments in real-world conditions.- Bridges the gap between theory and practice, providing essential insights for graduate students, researchers, and engineers- Includes visual elements, data and code, and case studies for easy understanding and implementation- Provides the latest release in the Advances in Intelligent Energy Systems series, bringing together the latest innovations in smart, sustainable energy

The capability of effectively analyzing complex systems is fundamental to the operation, management and planning of power systems. This book offers broad coverage of essential power system concepts and features a complete and in-depth account of all the latest developments, including Power Flow Analysis in Market Environment; Power Flow Calculation of AC/DC Interconnected Systems and Power Flow Control and Calculation for Systems Having FACTS Devices and recent results in system stability.

This book explores the hydrogen integration in energy systems from a whole system optimisation perspective. The book introduces new modelling, optimisation, and reliability evaluation approaches that support the net zero transition.Global warming has been witnessed in the past few decades—as caused by the emission of greenhouse gases, such as carbon dioxide, it not only affects the habitat of animals but also threatens the lives of mankind in modern societies. Around the world, resulting from the excessive consumption of fossil fuels, such as natural gas, the energy sector is the culprit behind carbon dioxide emissions and climate change. To achieve net zero ambitions, energy systems worldwide urgently call for cleaner energy sources. Green hydrogen, produced through power-to-gas facilities using surplus renewable energy generation, has emerged as a promising solution. However, because hydrogen shares distinguished properties with natural gas, many fundamental questions, including how to smoothly integrate hydrogen into the existing energy systems, how to operate such a new structured energy system, and what is the systematic impact, remain unclear. To answer these questions and bridge the research gap, this book aims to develop new modelling, optimization, and reliability evaluation approaches that support the transition of current energy systems to hydrogen-integrated energy systems (HI-ES).This book sets the theoretical foundations for developing more advanced control strategies and application scenarios for HI-ES, and inform policy makings through bespoke advice on hydrogen integration road maps.

This book explores the hydrogen integration in energy systems from a whole system optimisation perspective. The book introduces new modelling, optimisation, and reliability evaluation approaches that support the net zero transition.Global warming has been witnessed in the past few decades—as caused by the emission of greenhouse gases, such as carbon dioxide, it not only affects the habitat of animals but also threatens the lives of mankind in modern societies. Around the world, resulting from the excessive consumption of fossil fuels, such as natural gas, the energy sector is the culprit behind carbon dioxide emissions and climate change. To achieve net zero ambitions, energy systems worldwide urgently call for cleaner energy sources. Green hydrogen, produced through power-to-gas facilities using surplus renewable energy generation, has emerged as a promising solution. However, because hydrogen shares distinguished properties with natural gas, many fundamental questions, including how to smoothly integrate hydrogen into the existing energy systems, how to operate such a new structured energy system, and what is the systematic impact, remain unclear. To answer these questions and bridge the research gap, this book aims to develop new modelling, optimization, and reliability evaluation approaches that support the transition of current energy systems to hydrogen-integrated energy systems (HI-ES).This book sets the theoretical foundations for developing more advanced control strategies and application scenarios for HI-ES, and inform policy makings through bespoke advice on hydrogen integration road maps.

This book comprehensively examines the communication challenges posted  by regulating large-scale flexible loads  These challenges include high access demands, explosive data volume, frequent data transmission, realistic performance-based impact analysis, and security concerns. Addressing these issues is very important for the advancement of modern power systems, since large-scale flexible loads are becoming contributing resources for the regulation purposes.This book has been written to solve these issues.At the beginning of this book, the architecture of communication networks is introduced to specify the challenges of regulating large-scale flexible loads. The interconnection of power and communication networks is reviewed to emphasize the potential applications of advanced ICTs. Part I introduces the planning and operation approaches of communication networks for the control of large-scale flexible loads. Part II analyses the impact of communication latency and detection errors on dispatching flexible loads. Part III discusses the security of communication networks for the regulation of large-scale flexible loads from a data protection perspective. Finally, the book reviews current research and introduces the prospective work on emergency communication resource in resilient modern power systems.

This book comprehensively examines the communication challenges posted  by regulating large-scale flexible loads  These challenges include high access demands, explosive data volume, frequent data transmission, realistic performance-based impact analysis, and security concerns. Addressing these issues is very important for the advancement of modern power systems, since large-scale flexible loads are becoming contributing resources for the regulation purposes.This book has been written to solve these issues.At the beginning of this book, the architecture of communication networks is introduced to specify the challenges of regulating large-scale flexible loads. The interconnection of power and communication networks is reviewed to emphasize the potential applications of advanced ICTs. Part I introduces the planning and operation approaches of communication networks for the control of large-scale flexible loads. Part II analyses the impact of communication latency and detection errors on dispatching flexible loads. Part III discusses the security of communication networks for the regulation of large-scale flexible loads from a data protection perspective. Finally, the book reviews current research and introduces the prospective work on emergency communication resource in resilient modern power systems.

This book focuses on the integration of air conditioning and heating as a form of demand response into modern power system operation and planning. It presents an in-depth study on air conditioner aggregation, and examines various models of air conditioner aggregation and corresponding control methods in detail. Moreover, the book offers a comprehensive and systematic treatment of incorporating flexible heating demand into integrated energy systems, making it particularly well suited for readers who are interested in learning about methods and solutions for demand response in smart grids. It offers a valuable resource for researchers, engineers, and graduate students in the fields of electrical and electronic engineering, control engineering, and computer engineering.

This book focuses on the integration of air conditioning and heating as a form of demand response into modern power system operation and planning. It presents an in-depth study on air conditioner aggregation, and examines various models of air conditioner aggregation and corresponding control methods in detail. Moreover, the book offers a comprehensive and systematic treatment of incorporating flexible heating demand into integrated energy systems, making it particularly well suited for readers who are interested in learning about methods and solutions for demand response in smart grids. It offers a valuable resource for researchers, engineers, and graduate students in the fields of electrical and electronic engineering, control engineering, and computer engineering.  

This book focuses on the integration of air conditioning and heating as a form of demand response into modern power system operation and planning. It presents an in-depth study on air conditioner aggregation, and examines various models of air conditioner aggregation and corresponding control methods in detail. Moreover, the book offers a comprehensive and systematic treatment of incorporating flexible heating demand into integrated energy systems, making it particularly well suited for readers who are interested in learning about methods and solutions for demand response in smart grids. It offers a valuable resource for researchers, engineers, and graduate students in the fields of electrical and electronic engineering, control engineering, and computer engineering.

This book investigates the control of distributed resources in modern power systems in detail. It assesses distributed resources potential to enhance the security of modern power systems through demand response (DR). The most important feature of this book is the comprehensive coverage of centralized and distributed control methods, along with hardware-in-the-loop (HIL) technologies for DR. The topic has drawn attention from engineers and scientists across many fields, including power system, electrical, control, and thermodynamics engineering. The book takes a holistic approach. It builds a clear framework for distributed resources, highlighting integrated analysis and coordinated optimization in system design and control. It also connects theoretical algorithms with practical validation and application. The book is intended for undergraduate and graduate students interested in modern power systems, for researchers studying modeling, control, or HIL for frequency, voltage, and power regulation, and for industry professionals working on demand response applications.

This book focuses on the risk modeling, analysis and control of multi-energy systems considering cross-sectorial failure propagation. Both models and methods have been addressed with engineering practice. This is accomplished by doing a thorough investigation into the modeling of system physics and reliabilities in both long- and short-term phases. Different models and methods to evaluate the risk of multi-energy systems considering various disturbances, e.g., component failures, load uncertainties and extreme weather, are studied in detail.  Furthermore, several risk control strategies for multi-energy systems, such as long-term capacity planning and integrated demand response, are analyzed in this book, which is especially suited for readers interested in system risk management. The book can benefit researchers, engineers, and graduate students in the fields of electrical and electronic engineering, energy engineering, complex network and control engineering, etc.

This book focuses on the risk modeling, analysis and control of multi-energy systems considering cross-sectorial failure propagation. Both models and methods have been addressed with engineering practice. This is accomplished by doing a thorough investigation into the modeling of system physics and reliabilities in both long- and short-term phases. Different models and methods to evaluate the risk of multi-energy systems considering various disturbances, e.g., component failures, load uncertainties and extreme weather, are studied in detail.  Furthermore, several risk control strategies for multi-energy systems, such as long-term capacity planning and integrated demand response, are analyzed in this book, which is especially suited for readers interested in system risk management. The book can benefit researchers, engineers, and graduate students in the fields of electrical and electronic engineering, energy engineering, complex network and control engineering, etc.