A DC distribution system for power system integration of Plug-In Hybrid Electric Vehicles
Bibliographic record
Abstract
A DC distribution system is proposed for integration of Plug-in Hybrid Electric Vehicles (PHEVs) in public parking areas. The proposed system assumes that each PHEV is interfaced with a network of DC lines, through a corresponding bidirectional DC-DC converter (battery charger). It also assumes that a central Voltage-Sourced Converter (VSC) provides the interface between the DC network and the host AC utility grid. The proposed system is expected to be more efficient and economical than an equivalent aggregate of AC-DC battery charges connected to the AC grid, since it relieves the battery chargers from the need for a bidirectional, front-end, power-factor correction (PFC) stage. Further, due to its DC nature, the proposed system is amenable to integration of Photovoltaic (PV) modules. The paper presents a mathematical model for the proposed DC system and discusses the potential stability issues.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".