IEEE transactions on smart grid, 2020-03, Vol.11 (2), p.958-967
2020
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Details
- Autor(en) / Beteiligte
- Titel
- Malicious Corruption Resilience in PMU Data and Wide-Area Damping Control
- Ist Teil von
- IEEE transactions on smart grid, 2020-03, Vol.11 (2), p.958-967
- Ort / Verlag
- Piscataway: IEEE
- Erscheinungsjahr
- 2020
- Quelle
- IEEE/IET Electronic Library (IEL)
- Beschreibungen/Notizen
- 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 lp-norm (0 <; p <; 1)-based online robust principal component analysis (RPCA) algorithm. The performance of the proposed method has been compared for different patterns of corruption with an l1-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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1949-3053eISSN: 1949-3061DOI: 10.1109/TSG.2019.2928340Titel-ID: cdi_proquest_journals_2359902586
- Format
- –
- Schlagworte
- Algorithms, compressed sensing, Computer crime, Corruption, cybersecurity, Damping, Measuring instruments, Missing data, Network topology, Oscillators, Phasor measurement units, PMU, Principal component analysis, Principal components analysis, Rain, Resilience, robust PCA, sparse optimization, wide-area oscillation damping