| Title | Power Grid Nodal Vulnerability Analysis Combining Topology and State Information |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Pan, Huan, Li, Xiao, Cao, Ruijia, Na, Chunning |
| Conference Name | 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) |
| Keywords | Analytical models, cascading failure model, Correlation, Metrics, power gird, power grid vulnerability analysis, power grids, Power system protection, pubcrawl, resilience, Resiliency, Scalability, simulation, system integration, Topology, vulnerability analysis, vulnerability index |
| Abstract | The security of the power grid is the first element of its operation. This paper aims at finding the vulnerability nodes in the power grid to prevent it from being destroyed. A novel comprehensive vulnerability index is proposed to the singleness of evaluation indicators for existing literature by integrating the power grid's topology information and operating state. Taking IEEE-118 as an example, the simulation analysis proves that the proposed vulnerability index has certain discriminative advantages and the best weighting factor is obtained through correlation analysis. |
| DOI | 10.1109/EI252483.2021.9713483 |
| Citation Key | pan_power_2021 |
Power Grid Nodal Vulnerability Analysis Combining Topology and State Information