A Distributed Control Paradigm for Smart Grid to Address Attacks on Data Integrity and Availability
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Bibliographic record
Abstract
In this paper, we propose an adaptive cyber-enabled parametric feedback linearization (PFL) control scheme for transient stability of smart grids. Based on feedback linearization control theory, the distributed PFL controller utilizes a distributed energy storage system to modify the dynamics of the power system during transients. We consider cyber attacks on data integrity and availability in the smart grid, and propose to adapt the PFL controller's parameter to the cyber state of the smart grid. Specifically, the PFL control scheme adapts its aggressiveness parameter to the level of noise, communication latency, and data injection attacks. Further, depending on the severity of the physical disturbance, the controller adjusts the value of its parameter to speed up the stabilization process. The performance of the proposed control scheme is validated on the IEEE 68-bus test power system, where the adaptive PFL controller is shown to efficiently stabilize the power system during physical and cyber disturbances.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 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