Resilience Evaluation of Cyber-Physical Power System Considering Cyber Attacks

With the further development of the smart grid, the modern power system has evolved into a cyber-physical power system (CPPS). In order to accurately quantify the resilience of a CPPS under cyber attacks, in this article, a resilience evaluation method for the CPPS considering the whole process of cyber attacks is proposed. First, the calculation model of successful attack probability is proposed based on the Markov node transition probability matrix and depth-first search algorithm. Second, based on the idea of nonsequential Monte-Carlo simulation, a mixed sampling method is proposed to determine the fault occurrence time and repair time of each circuit breaker in the fault set. In order to describe the change process of load after a successful attack, the response model of the power system is proposed using the optimal load reduction model based on the dc power flow. Four resilience evaluation indices for attack risk resistance, system adaptability, repair rate, and comprehensive weighted index are proposed to evaluate the resilience of CPPS considering cyber attacks. Finally, a case study is carried out based on the IEEE RTS 79 system to verify the effectiveness of the proposed resilience evaluation method.