Optimal Planning With Technology Selection for Wind Power Plants in Power Distribution Networks
Why this work is in the frame
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Bibliographic record
Abstract
This paper proposes a comprehensive decision framework to optimally plan wind power plants (WPPs) with technology selection in the distribution network. The proposed framework aims to maximize the net present value (NPV) associated with the WPP investment over a given planning horizon for various bus locations. The proposed design accounts for various practical cost factors, historical data of wind speeds, and WPP installation restrictions due to territorial information, environmental considerations, and work constraints, in the decision making process of optimal planning and technology selection for WPP. The planning problem, which maximizes the NPV over the potential WPP installation locations, potential technologies, and the size of WPPs, is formulated as a constrained optimization problem. The proposed design is evaluated using case studies to test its concrete practices with a radial network of 33-bus distribution system.
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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