Effect of wind turbine parameters on optimal DG placement in power distribution systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The notion of the “smart grid” has led stakeholders in the power industry to promote more efficient technologies to the network. Distribution systems are a favorite place to host most of these technologies including Renewable-based distributed generation (DG). Wind Turbine Generators (WTGs) in particular have proved their usefulness for supplying a fair portion of power demand; however, the power output of WTGs is mainly dependent on the stochastic nature of the site's wind speed in addition to the design parameters of WTGs. Furthermore, WTGs can only be suitably utilized when their capacities and locations are optimized in such a way to achieve certain goals. In this paper, the effect of wind generator design parameters, namely cut-in, cut-out, and rated wind speeds, on the problems of sizing and siting WTGs-based DGs is addressed. The probabilistic optimization model is used to minimize the system's annual energy losses, and the results reveal that the design parameters of WTGs must be carefully selected due to their strong effect on system losses and DG locations and capacities.
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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