Energy Internet, a futuristic evolution of electricity system, is conceptualized as an energy sharing network. The energy internet integrates advanced sensors, efficient measurement technologies, advanced control methods, and efficient energy utilization/conversion/storage system to achieve economical, efficient, and environmentally friendly operation of the power grid system. The energy internet also contains a large amount of heterogeneous information, which requires the support of information technology more than traditional power system design. Moreover, due to the open network environment of the energy internet, any anomaly or malicious attack in the system can bring unpredictable and significant losses to the overall grid operation.
This Research Topic aims to investigate energy storage system design, optimal scheduling attack detection model and the state restoration strategy from the perspective of the energy internet. Moreover, the topic also includes efficient energy utilization, conversion and storage technologies, and cyber-physical attacks against the smart grid from the adversaries' perspective. The researches of this topic are helpful in improving the security and the operation efficiency of power grid system and can be conveniently applied to the real-world management system of the energy internet.
The topic invites submissions on the energy internet, including but not limited to:
1. Design of large-scale energy internet systems.
2. Security of energy internet systems, including the data integrity attacks against the dynamic state estimation and the state restoration strategy of power grid.
3. Polygeneration/cogeneration systems for renewable energy efficient utilizations.
4. Advanced Energy storage technologies concerns thermal energy storage (TES)system, compressed air energy storage (CAES) system and so on
5. Other topics of energy storage technologies including battery thermal management technology.
6. Artificial intelligence technology-based optimal scheduling of power grid.
7. Software models for the energy internet system.
8. Dynamic state estimation method of power grid.
Energy Internet, a futuristic evolution of electricity system, is conceptualized as an energy sharing network. The energy internet integrates advanced sensors, efficient measurement technologies, advanced control methods, and efficient energy utilization/conversion/storage system to achieve economical, efficient, and environmentally friendly operation of the power grid system. The energy internet also contains a large amount of heterogeneous information, which requires the support of information technology more than traditional power system design. Moreover, due to the open network environment of the energy internet, any anomaly or malicious attack in the system can bring unpredictable and significant losses to the overall grid operation.
This Research Topic aims to investigate energy storage system design, optimal scheduling attack detection model and the state restoration strategy from the perspective of the energy internet. Moreover, the topic also includes efficient energy utilization, conversion and storage technologies, and cyber-physical attacks against the smart grid from the adversaries' perspective. The researches of this topic are helpful in improving the security and the operation efficiency of power grid system and can be conveniently applied to the real-world management system of the energy internet.
The topic invites submissions on the energy internet, including but not limited to:
1. Design of large-scale energy internet systems.
2. Security of energy internet systems, including the data integrity attacks against the dynamic state estimation and the state restoration strategy of power grid.
3. Polygeneration/cogeneration systems for renewable energy efficient utilizations.
4. Advanced Energy storage technologies concerns thermal energy storage (TES)system, compressed air energy storage (CAES) system and so on
5. Other topics of energy storage technologies including battery thermal management technology.
6. Artificial intelligence technology-based optimal scheduling of power grid.
7. Software models for the energy internet system.
8. Dynamic state estimation method of power grid.