A General Real-Time Cyberattack Risk Assessment Method for Distribution Network Involving the Influence of Feeder Automation System

The power system has become the key target of national cyber confrontation. To enhance the risk management capability of the distribution network (DN) while assessing the cyberattack risk quickly and accurately, this paper proposes a general real-time cyberattack risk assessment method for DN involving the influence of distributed feeder automation systems (DFAs). In particular, to clarify the quantitative relationship between cyberattack intrusion and DN state deterioration, we constructed the quantitative model of the cyber physical distribution network (CPDN) under cyberattack, which involves the influence of DFAs' behavior. In addition, in order to intuitively demonstrate the cyberattack risk, we developed a novel entropy-like risk assessment system upon the quantitative model of CPDN. The real two-feeder test platform with cyberattack simulation devices is used to verify the correctness and practicality of the proposed method. In this process, a digital cyberattack risk assessment unit is created, contributing to the system-level application of risk management.