With the continuous development of smart grid technology, the modern power system is gradually evolving into a multi-dimensional, heterogeneous, and complex cyber-physical energy & power system (CPEPS). The advanced functions of the information communication networks provide significant technical support for the observability and controllability of CPEPS. However, the interactions between the cyber networks and the physical energy & power systems can yield unpredictable cross-system failure propagations, which may lead to the loss of load or even blackouts. Exploring and exploiting the dynamic behavior and interaction mechanisms of the CPEPS will help reduce the risk of cyber attacks and further improve the controllability and stability of the entire system.
The goal of this research topic is to explore the interaction mechanisms between cyber systems and physical energy & power systems, and effectively identify the weak points of the entire system based on optimization technology, risk assessment theory, uncertainty theory, and artificial intelligence technology, so as to better promote the safety, reliability, and robustness of the CPEPS.
The research topic invites contributions highlighting the novel and most recent advances in theory, modeling, and applications of cyber-physical energy & power system. The topic editors welcome reviews, original articles that may focus on, but are not limited to:
1. Cyber-physical interactions in energy and power systems: theory, modeling, and applications
2. Risk assessment for cyber-physical energy and power systems
3. Cyber-physical energy and power systems: optimization and dynamics
4. Game theory and deep learning for cyber-physical energy and power systems
With the continuous development of smart grid technology, the modern power system is gradually evolving into a multi-dimensional, heterogeneous, and complex cyber-physical energy & power system (CPEPS). The advanced functions of the information communication networks provide significant technical support for the observability and controllability of CPEPS. However, the interactions between the cyber networks and the physical energy & power systems can yield unpredictable cross-system failure propagations, which may lead to the loss of load or even blackouts. Exploring and exploiting the dynamic behavior and interaction mechanisms of the CPEPS will help reduce the risk of cyber attacks and further improve the controllability and stability of the entire system.
The goal of this research topic is to explore the interaction mechanisms between cyber systems and physical energy & power systems, and effectively identify the weak points of the entire system based on optimization technology, risk assessment theory, uncertainty theory, and artificial intelligence technology, so as to better promote the safety, reliability, and robustness of the CPEPS.
The research topic invites contributions highlighting the novel and most recent advances in theory, modeling, and applications of cyber-physical energy & power system. The topic editors welcome reviews, original articles that may focus on, but are not limited to:
1. Cyber-physical interactions in energy and power systems: theory, modeling, and applications
2. Risk assessment for cyber-physical energy and power systems
3. Cyber-physical energy and power systems: optimization and dynamics
4. Game theory and deep learning for cyber-physical energy and power systems