A novel single pulse and PWM VAr compensator for high power applications
Bibliographic record
Abstract
Although pulse-width-modulated (PWM) high power GTO-based voltage source inverters have unique control features, obstacles to their use in high power applications include reduced efficiency, and lower inverter utilization. This paper presents a low switching frequency pulse-width-modulation (PWM) technique that can be used in conjunction with the principle of harmonic neutralization. This allows the combination of the advantages of both multi-pulse and PWM GTO-based voltage source converters. The proposed converter can be operated in either the single pulse or the PWM modes. In the PWM mode, a special low switching frequency (3 pu) space vector strategy is used to maximize voltage utilization while maintaining a transfer linear characteristic. In the six-step mode, the switching frequency, and thus the switching losses are minimized. In addition the paper proposes an alternative to complicated zig-zag connected phase-shifting transformers used in standard implementations. The power structure and control methods are described and analyzed. Experimental results validate and demonstrate the performance of the proposed techniques.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".