Routing optimization method of cyber-energy system considering cross-space cascading fault handling process

The degree of coupling between information and energy is increased, leading to a cyber-energy system. The amount of information carried by communication networks is expanding, and if a cyber system fails or operates abnormally, the defect may propagate across space to the entire system. In this paper, a routing optimization method of cyber-energy systems is proposed to optimize information operations and respond to cyber attacks. To account for the difference in information demand between electricity and gas, we describe the communication business and determine the business's importance using the fuzzy analytic hierarchy approach. The risk assessment model is improved by analyzing the structural vulnerability of the energy system based on complex network theory. To coordinate various conditions, the approach is split into preventative and emergency control modes. The Yen algorithm and the fuzzy membership function are coupled in the preventative control mode to simultaneously optimize load balancing and communication risk. In the event of cyber attacks, the emergency control mode is triggered, which employs emergency isolation to minimize fault propagation and to preserve system stability in a partially disconnected operating state. Finally, the method's effectiveness is illustrated through using IEEE 30 bus and gas 13 node coupling system.