Online Set Point Adjustment for Trajectory Shaping in Microgrid Applications
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Bibliographic record
Abstract
This paper proposes and evaluates a strategy to mitigate the transients of an apparatus, e.g., an electronically-interfaced distributed energy resource (DER) unit. This strategy is based on response monitoring and can be implemented based on either set point automatic adjustment (SPAA) or set point automatic adjustment with correction-enabled (SPAACE). SPAA takes advantage of an approximate model of the system to calculate the intermediate set points. SPAACE monitors the trajectory of the variable of interest and bases its decisions on the trend of variations of that variable and accounts for the inaccuracies and unmodeled dynamics by switching the command input between alternative set points. Case studies are presented to demonstrate the application and effectiveness of the proposed strategy in limiting voltage or current excursions in balanced and unbalanced microgrid study systems, subsequent to a step change in set point, load switching, and black start.
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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