Virtual inertia-based load modulation for power system primary frequency regulation
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Bibliographic record
Abstract
Future power systems are more vulnerable to contingencies due to the fluctuating power generation arising from the integration of renewable resources with intermittent patterns. Aside from their intermittent nature, most of these resources can not participate in system reserves and in the entire system inertia. Therefore, higher amount of frequency deviation is foreseeable in future power systems with large penetration of renewable energy sources. In this paper, enjoying the smart load technology, a virtual inertia-based load modulation strategy is presented and compared to the conventional load modulation approach. Simulation results indicate that virtual inertia-based load modulation can achieve better generalization performance with minimum performance sacrifice compared to the conventional strategy. The detailed simulation is performed using SimPowerSystems (SPS) toolbox, in phasor mode, on the IEEE 39-bus New England test system.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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