| Title | Robustness Analysis of Cyber-Physical Power System Based on Adjacent Matrix Evolution |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Xu, Zhengwei, Ge, Yuan, Cao, Jin, Yang, Shuquan, Lin, Qiyou, Zhou, Xu |
| Conference Name | 2021 China Automation Congress (CAC) |
| Keywords | adjacent matrix, Analytical models, combinatorial matrix, composability, compositionality, Cyber Dependencies, cyber-physical power system, Human Behavior, Indexes, Metrics, Power system dynamics, Power system protection, pubcrawl, reachable matrix, resilience, Resiliency, Resistance, Robustness, Scalability, Topology |
| Abstract | Considering the influence of load, This paper proposes a robust analysis method of cyber-physical power system based on the evolution of adjacency matrix. This method uses the load matrix to detect whether the system has overload failure, utilizes the reachable matrix to detect whether the system has unconnected failure, and uses the dependency matrix to reveal the cascading failure mechanism in the system. Finally, analyze the robustness of the cyber-physical power system. The IEEE30 standard node system is taken as an example for simulation experiment, and introduced the connectivity index and the load loss ratio as evaluation indexes. The robustness of the system is evaluated and analyzed by comparing the variation curves of connectivity index and load loss ratio under different tolerance coefficients. The results show that the proposed method is feasible, reduces the complexity of graph-based attack methods, and easy to research and analyze. |
| DOI | 10.1109/CAC53003.2021.9727501 |
| Citation Key | xu_robustness_2021 |
Robustness Analysis of Cyber-Physical Power System Based on Adjacent Matrix Evolution