2DoF BTSPWM for Parallel Current Source Converter with Improved CMV and Harmonic Performance
Bibliographic record
Abstract
The three-phase current source converter (CSC) can work as a buck-type rectifier or boost-type inverter with a wide voltage regulation range, which is a promising solution for single-stage power conversion. Parallel connection of power converters is a popular choice to increase the power rating and system reliability. Meanwhile, supervisor harmonic performance can be achieved through interleaving operation. Carrier-based sinusoidal pulse width modulation (SPWM) is widely adopted for interleaved converters due to its easy and modular implementation features. In this paper, a 2 degree-of-freedom (2DoF) optimization-based bi-tri logic SPWM (BTSPWM) is proposed for a parallel CSC system, where the harmonic spectrum of output and common-mode voltage (CMV) is analyzed comprehensively. The carrier shift angles are optimized to improve the CMV and harmonic performance for interleaving BTSPWMs. Meanwhile, the optimized zero-state replacement (ZSR) method can be combined with 2DoF modulations to further reduce the CMV. The effectiveness of the proposed method is verified on a 2-CSC parallel system with experiment results.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".