Optimal capacitor placement and sizing in distorted radial distribution systems part II: Problem formulation and solution method
Why this work is in the frame
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Bibliographic record
Abstract
The capacitor placement and sizing problem is formulated as a nonlinear integer optimization problem. The discrete nature of commercially available capacitor sizes is considered. This research investigates two objectives of the optimal placement and sizing of shunt capacitors. The first objective is to minimize the system real power loss while keeping voltage profiles and total harmonic distortions within permissible limits. The second objective is to minimize the cost of real power losses and that of shunt capacitor installation while satisfying the same constraints. The constraints considered are of two types, equality constraints and inequality constraints. The equality constraints are the nonlinear power flow equations, while the inequality constraints are those associated with the bus voltages, harmonic distortion levels, and shunt capacitors. The optimal capacitor placement and sizing problem is tackled by particle swarm optimization (PSO).
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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