Bibliographic record
Abstract
The 3-phase bridge voltage-source converter (VSC) which has been and continues to be the work-horse of variable-speed AC-motor drives is making penetration into the electric utility environment. In the electric utility environment, there is a greater emphasis on: (i) grounding and (ii) the need of the VSC to survive all conceivable faults. Fault analysis decomposes the unbalanced 3-phase voltages and currents into positive-, negative- and zero-sequence components. The impact of the zero-sequence on the VSC has not been well understood and a common practice is to side-step this issue by excluding the zero-sequence from the VSC at the utility/VSC interface by connecting the transformers in the Y-/spl Delta/ configuration. This paper shows that the Y-/spl Delta/ configuration can lead to destructively high over-voltage or permanent dc voltage unbalance. These problems cease to exist in transformer configurations in which the zero-sequence currents are admitted to the VSC. In order to use these transformer configurations, it is necessary to manage the zero sequence in the VSC. This paper presents the mathematical model of the zero sequence and its equivalent circuit as it affects the voltage source converter.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".