Name
Abstract | ||
|---|---|---|
This paper presents a framework for malicious corruption resilience in phasor measurement unit (PMU) data and a methodology for applying this in wide-area damping control. The problem of detecting corruptions in raw PMU measurements is formulated as a compressed sensing problem and the compromised signals are recovered using an
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-norm (
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)-based online robust principal component analysis (RPCA) algorithm. The performance of the proposed method has been compared for different patterns of corruption with an
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-norm-based RPCA algorithm. The effectiveness of using the proposed data preprocessing architecture for correcting raw PMU feedback signals corrupted by missing data attack was demonstrated for closed-loop wide-area power oscillation damping control in 16-machine, 5-area New England-New York system. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TSG.2019.2928340 | IEEE Transactions on Smart Grid |
Keywords | Field | DocType |
Phasor measurement units,Damping,Rain,Oscillators,Network topology,Computer crime,Principal component analysis | Psychological resilience,Computer security,Control engineering,Engineering,Corruption | Journal |
Volume | Issue | ISSN |
11 | 2 | 1949-3053 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaveri Mahapatra | 1 | 3 | 1.42 |
| Mahmoud Ashour | 2 | 0 | 0.34 |
| Nilanjan Ray Chaudhuri | 3 | 15 | 5.52 |
| Constantino M. Lagoa | 4 | 164 | 25.38 |