Improved correlation technique for islanding detection of inverter based distributed generation
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Bibliographic record
Abstract
Islanding detection is one of the most important R&D topics in the area of distributed generation (DG) interconnection with utility grid. For many years, different anti-islanding protection methods were developed and proposed for inverter based distributed generation. However, most of these methods have a limit for detecting islanding when multiple DGs have to be connected with one distribution line. In this paper, we present theoritical and simulation analyses of the correlation method. The principle of the correlation technique is presented and the method was investigated for different operating conditions. The critical case-studies show that this method is effective for both single and multiple grid connected systems. In addition, to improve the effectiveness of the correlation technique, a user-defined M-sequence was used to calculate the correlation function.
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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