Real-time Reactive Power Compensation by Distributed Generation Simulated using GridLAB-D and PSIM
Why this work is in the frame
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Bibliographic record
Abstract
With the recent increase of inverter-based distributed generation (DG), more opportunities for grid support are being explored. Advanced metering infrastructure (AMI), allows monitoring and communication in the distribution grid, which could enable real-time optimal reactive power compensation by DG units. In this study, a real-time simulation using GridLAB-d and PSIM is used to explore this in a British Columbia, Canada grid. State estimation followed by reactive power optimisation is applied in real-time to both under-voltage and over-voltage grids. This process is shown to improve grid performance at very low cost, by either reducing power loss in the lines, mitigating reverse power flow or improving other objective(s) determined by the utility.
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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