Academic Press Cyberphysical Infrastructures in Power Systems: Architectures and Vulnerabilities

In an uncertain and complex environment, to ensure secure and stable operations of large-scale power systems is one of the biggest challenges that power engineers have to address today. Traditionally, power system operations and decision-making in controls are based on power system computations of physical models describing the behavior of power systems. Largely, physical models are constructed according to some assumptions and simplifications, and such is the case with power system models. However, the complexity of power system stability problems, along with the system's inherent uncertainties and nonlinearities, can result in models that are impractical or inaccurate. This calls for adaptive or deep-learning algorithms to significantly improve current control schemes that solve decision and control problems. Cyberphysical Infrastructures in Power Systems: Architectures and Vulnerabilities provides an extensive overview of CPS concepts and infrastructures in power systems with a focus on the current state-of-the-art research in this field. Detailed classifications are pursued highlighting existing solutions, problems, and developments in this area. Review Addresses advanced, distributed methods for CPS infrastructures in power systems. From the Back Cover In an uncertain and complex environment, to ensure secure and stable operations of large-scale power systems is one of the biggest challenges that power engineers have to address today. Traditionally, power system operations and decision-making in controls are based on power system computations of physical models describing the behavior of power systems. Largely, physical models are constructed according to some assumptions and simplifications, and such is the case with power system models. However, the complexity of power system stability problems, along with the system's inherent uncertainties and nonlinearities, can result in models that are impractical or inaccurate. This calls for adaptive or deep-learning algorithms to significantly improve current control schemes that solve decision and control problems. Cyberphysical Infrastructures in Power Systems: Architectures and Vulnerabilities provides an extensive overview of CPS concepts and infrastructures in power systems with a focus on the current state-of-the-art research in this field. Detailed classifications are pursued highlighting existing solutions, problems, and developments in this area. About the Author Magdi S. Mahmoud is Distinguished Professor at the King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. He is the recipient of two national, one regional, and several university prizes for outstanding research in engineering and applied mathematics. He is a fellow of the IEE, a senior member of the IEEE and the CEI (United Kingdom), and a registered consultant engineer of information engineering and systems (Egypt). He is currently actively engaged in teaching and research in the development of modern methods for distributed control and filtering, networked control systems, triggering mechanisms in dynamical systems, fault-tolerant systems, and information technology. Haris M. Khalid is currently an Assistant Professor in Electrical and Electronics Engineering with the Higher Colleges of Technology, Sharjah, UAE. He is an HEA Fellow and IEEE Senior Member. He has served as an Energy Specialist in UAE Space Agency “Tests in Orbit Competitions, which are partnered with Dream-Up and Nano-Racks. His research interests include power systems, cyberphysical systems, and electric vehicles; signal processing, V2G technology, fault diagnostics, filtering, estimation, and condition monitoring. He is the Associate Editor of "Frontiers in Energy Research | Smart Grid". He is also a Reviewer for the "IEEE Transactions on Power Systems", "Transactions on Neural Networks and Learning Systems", "Transactions on Control of Network Systems", "Transa