A Resilient Algorithm for Power System Mode Estimation Using Synchrophasors
| Title | A Resilient Algorithm for Power System Mode Estimation Using Synchrophasors |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Rajabi, Arezoo, Bobba, Rakesh B. |
| Conference Name | Proceedings of the 2Nd Annual Industrial Control System Security Workshop |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4788-4 |
| Keywords | cyber-attacks, False Data Injection, fault-tolerance, industrial control systems, Metrics, Neural Network, Neural networks, neural networks security, Oscillation Mode Estimation, Phasor Measurement Unit, policy-based governance, pubcrawl, Resiliency, Scalability |
| Abstract | Bulk electric systems include hundreds of synchronous generators. Faults in such systems can induce oscillations in the generators which if not detected and controlled can destabilize the system. Mode estimation is a popular method for oscillation detection. In this paper, we propose a resilient algorithm to estimate electro-mechanical oscillation modes in large scale power system in the presence of false data. In particular, we add a fault tolerance mechanism to a variant of alternating direction method of multipliers (ADMM) called S-ADMM. We evaluate our method on an IEEE 68-bus test system under different attack scenarios and show that in all the scenarios our algorithm converges well. |
| URL | http://doi.acm.org/10.1145/3018981.3018983 |
| DOI | 10.1145/3018981.3018983 |
| Citation Key | rajabi_resilient_2016 |