Phase-Disposition PWM Based 2DoF-Interleaving Scheme for Minimizing High Frequency ZSCC in Modular Parallel Three-Level Converters
Bibliographic record
Abstract
This paper proposes a two-degree-of-freedom (2DoF) interleaving scheme based on phase-disposition (PD) PWM for minimizing the high-frequency zero-sequence circulating current (ZSCC) in modular interleaved three-level converters. The method incorporates an internal interleaving by phase-shifting the carriers in each individual converter, and an external interleaving by phase-shifting the carriers of the different converters. A general harmonic distribution analysis which is valid for all types of voltage source converters is carried out to simplify the evaluation of the proposed method. A comprehensive evaluation of the proposed method shows that the PD-2DoF interleaving scheme produces the lowest ZSCC maximum value as compared to existing approaches. Moreover, it can achieve comparable performances as existing methods do in terms of output quality and common mode voltage magnitude, showing a great potential for practical implementation. Simulation and experimental results are obtained to demonstrate the performance of the proposed method. Generalization of the 2DoF interleaving scheme to high-level converter is also discussed in this paper.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".