A methodology for evaluation of permissible depth of penetration of distributed generation in urban distribution systems
Why this work is in the frame
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Bibliographic record
Abstract
Distributed generation (DG) promises potential benefits such as clean or renewable generation, grid support, and transmission and distribution deferral for distribution utilities. However, its integration into the passive distribution system has equal potential to cause adverse impacts. This paper presents the results from a joint study between Toronto Hydro Electric System Ltd. and the University of Toronto, to devise a methodology to evaluate the permissible depth of penetration of DG on Toronto Hydropsilas urban distribution system. The impact of conventional generation, and the addition of large amounts of PV-based generation, is studied. Issues relating to ampacity, voltage regulation, short circuit current are simulated in CYMDIST. The limitations to the depth of penetration are identified. Practical optimal locating of DG and impacts towards power quality and protection are also discussed.
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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