The Petri Net Based Probability Transfer Analysis of Cyber-Physical Power System Under False Data Injection Attacks

Since the physical equipment inside the substation may be uncontrollable due to malicious attacks, which affects the state estimation of the system and the reliability of related advanced analysis and decision functions, this paper models the substation system based on Petri net and analyzes the system under false data injection. The probability distribution characteristics of each device being attacked. Focus on the attack mode under the false data injection attack, Petri net provides a solid foundation for CPS modeling. We first describe the typical attack scenarios in the substation, Secondly, the Petri net is used to refine the important equipment in the cyber system, and based on the observed real-time attack events, attack graph is used to dynamically update the attack behavior probability. Finally, the optimal load control strategy considering node failure is proposed to comprehensively and evaluate the impact of false data injection attack, the results show that the probability distribution of equipment attack in substation under false data injection is consistent with Poisson distribution.