Fuzzy-based control of on-load tap changers under high penetration of distributed generators
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Bibliographic record
Abstract
Voltage regulation in the distribution networks becomes more challenging when the distribution generation (DG) units are introduced. The reasons behind that are: the reverse power flow which is introduced by the DG units, in addition to the probabilistic nature of the generated power due to renewable-based DG units. In this paper, a fuzzy algorithm is proposed to provide an adaptive reference of the OLTC controller, such that the OLTC, which feeds a multiple feeders, can mitigate the effect of the high penetration of the DG units. The motivations behind using the fuzzy logic are: 1) it can map nonlinear relations behind its inputs and output; and 2) it can provide a smooth transition, which lead to a more relaxed tap operation compared to the conventional logic control. The proposed fuzzy algorithm is tested using a radial structure distribution network which is modeled using SIMULINK/MATLAB.
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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