A priority-ordered constrained search technique for optimal distributed generation allocation in radial distribution feeder systems
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Bibliographic record
Abstract
This paper presents a priority-ordered constrained search technique for optimal distributed generation (DG) allocation in radial distribution feeder systems. The distribution feeder system is divided into regions and the region(s) representing ≥ 40% of loads-percentage are selected for optimal DG placement. Utilizing the proposed technique with meta-heuristic algorithms will accelerate the algorithms' performance without affecting the solution quality. The artificial bee colony (ABC), as a new meta-heuristic population-based algorithm, is adopted to verify the proposed technique efficiency. The IEEE 33-bus and 69-bus feeder systems are examined, and the results obtained by the proposed technique are compared with those found using other methods. The outcomes confirm that the proposed technique led to significant search-space and time-consumption reductions without affecting the solution quality.
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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 | 0.001 | 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