~/talk

Streaming Analytics for Power Systems: A Tale of Two Time Scales

Talkat Societal Networks 2018 · 2018-03-26..03-30
name:Le Xie
links:none on file
slides:none on file

Uses GPS-synced PMU streams (60 Hz) and 4 TB of real grid data to run PCA on streaming PMU windows, finding the top 3–4 components capture >99.5% of variance and flag anomalies within a few samples (orders of magnitude faster than single-channel methods). For localization, applies robust PCA (nuclear norm + l1) solved by augmented Lagrangian; in 68-bus resonance experiments 40 of 44 cases pinpoint the source or narrowly constrain the search space.

AI-written summary · about

  1. 0:00Start
  2. 16:21The Challenge of Source Localization
  3. 17:23Localization of Oscillation: Assumptions
  4. 19:01Problem Formulation: Robust PCA
  5. 20:07Simulation: System Description
  6. 23:58Conclusion and Future Work • Dimensionality reduction of PMU data for anomaly detection
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