Preventive control and routing planning of cyber-physical system based on master-slave game

Abstract

Conventional power systems are developing into cyber-physical power systems (CPPS) with wide applications of communication, computer and control technologies. The dependence of power system on communication and information system is gradually increasing. The adjustment measures of power system will be affected or fail due to the risk and failure of communication and information system, and even causing cascading failure of cyber-physical system. Therefore, it is necessary to avoid passing through high-risk chain as far as possible. In the network dispatching center, the preventive control decisions made according to the state of the power system need to transmit the control instructions to the corresponding generators through the communication system. Adjusting the corresponding generator through which communication links and adjustment value to the corresponding generator are our concern problem. There is a master-slave game relationship between the power adjustment value and the communication route. In this paper, the master-slave game relationship is modeled as a bilevel optimization problem, which is solved iteratively by genetic algorithm and 0-1 integer programming. Finally, the simulation is carried out in the modified IEEE-14 bus system, and compared with the preventive control system without considering the influence of communication, which verifies the effectiveness of the proposed method.