Resilient Event-Triggered Observer-Based Periodic Wide-Area Control for Oscillation Damping in WAMPAC Systems Under Time Synchronization Attacks
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Bibliographic record
Abstract
In this article, we address the problem of delay-causing time synchronization (DC-TS) attacks against wide-area damping controllers (WADCs). To enhance smart grid stability against such threats, we present a realistic and secure design procedure for WADCs. To this end, we follow a methodology that utilizes the state-space model of the entire grid to design a periodic observer-based event-triggered controller by formulating the problem as a set of linear matrix inequalities, solved by the looped-Lyapunov functional (LLF) technique. The event-triggered scheme applied in this design procedure improves communication efficiency. Plus, the periodic sampled-data approach makes the design better suited to the operational reality of digital systems and their constraints. As such, the contributions of this work include developing an event-triggered mechanism to reduce unnecessary data transmissions, applying LLF for less conservative stability analysis, and utilizing the Guardian map theorem and Rekasius substitution to assess the WADCs resilience under DC-TS attacks. We conducted extensive simulations on the Kundur two-area and New England 39-bus systems to validate our approach. These simulations, along with comparisons to existing methods and tests on the RT-Lab real-time platform, demonstrate the superior performance of our WADC in maintaining grid stability and improving damping under considered attacks.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it