Suppressing Zero-Sequence Circulating Current of Modular Interleaved Three-Phase Converters Using Carrier Phase Shift PWM
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Bibliographic record
Abstract
Zero-sequence circulating current (ZSCC) has been a major concern for the operation of paralleled converters. Existing ZSCC reduction methods in the literature either suffer poor performances or are too complicated for modular implementation in an arbitrary number of interleaved converters. This paper investigates the application of interleaved carrier phase-shift (ICPS) pulse-width modulation (PWM) in modular interleaved converter system for ZSCC peak value reduction. The generalized study based on the derived ZSCC analytical expression reveals that the ICPS PWM can achieve superior ZSCC peak value reduction performance regardless the number of interleaved converters. Moreover, the impacts of ICPS PWM on the output voltage and current quality are also analyzed based on double Fourier integral. Compared with the conventional interleaved sinusoidal PWM (ISPWM), the output quality with the ICPS PWM can be comparable or even better. Simulation and experimental results show good agreement with the theoretical analysis, verifying the performance of the ICPS PWM.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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