🤖 AI Summary
In the context of deep digitalization, large-scale energy internet systems face significant cyber-physical security and resilience challenges due to the tight coupling among power, information, and market layers. This work proposes a comprehensive modeling and decision-making framework that integrates energy storage coordination, multidimensional resilience, and electricity price forecasting. It introduces a graph-computation-based attack-resilient information routing mechanism and, for the first time, incorporates artificial intelligence trustworthiness assurance into the security and resilience research paradigm for energy internet systems. By synergistically combining cyber-physical system modeling, AI security techniques, and multilayer coordinated control strategies, the project establishes a holistic technical framework tailored to the security and resilience needs of large-scale energy internet infrastructures, thereby providing critical support for standardization efforts and regulatory policy development.
📝 Abstract
This IEEE PES Task Force report examines the security and resilience of large-scale Energy Internet (EI) systems, in which electricity, information, and market layers are tightly coupled through pervasive digitalization. The report characterizes the EI cyber-physical threat landscape and surveys detection, assurance, and mitigation techniques, presents modeling, control, and decision-making frameworks that capture cyber-physical interdependencies, including storage integration, multi-dimensional resilience, and electricity price forecasting, examines adversarial risks and trustworthy deployment of artificial intelligence, and introduces graph-based, attack-resilient information routing. The report closes with recommendations for research, standardization, and regulatory efforts needed to realize a resilient and secure large-scale EI.