Correlation technique investigation for islanding detection of inverter based distributed generation
Why this work is in the frame
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Bibliographic record
Abstract
Islanding detection is an important R&D topic in the area of distributed generation (DG) interconnection with utility grid. For many years, different anti-islanding protection methods were developed for inverter based distributed generation. However, most of these methods have limit capability for detecting islanding when multiple DGs have to be connected with one distribution line. This paper proposes an islanding detection method based on correlation technique. Analytical and simulation analyses of the correlation method are presented. Single and multiple DGs islanding detection schemes were investigated for different operating conditions including the most difficult one when the DG output power matches the local load power. The critical case-studies show that correlation method is effective for both single and multiple grid connected DG systems.
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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