Graph Theoretic Approach for Cyber Contingency Analysis of Smart Grid

The development of technologies for enhancing the supervision and management of the power network has been a significant focus of technical experts in recent years. Researchers are developing cyber systems concurrently to improve the functionality of computing and communication technologies, as it results in the growth of interconnected devices. Power systems in modern times are highly integrated with Information and Communication Technologies (ICTs) for continuous and secure power delivery. Both cyber and power networks are tightly coupled. Whenever cyber system failure happens due to cyber attacks, the power system is not affected directly. However, when combined with a power system fault, it produces the same effect and disturbs the system. Sometimes this may cause an entire system blackout. Hence it’s crucial to analyze and rank the cyber contingencies. This paper proposes a cyber contingency ranking algorithm based on the Cyber Contingency Severity Metric (CCSM) calculated for a typical cyber physical remedial action scheme for Optimal Wind Power Generation (OWPG) problem. Graph theory-based modeling is used for representing both power and cyber networks. The proposed algorithm has been demonstrated on IEEE 39 bus system. The results demonstrate that the proposed approach is effective in ranking cyber contingencies and quantity their effect on the power grid efficiently.