Analysis of Harmonic Reduction for Synchronized Phase-shifted Parallel PWM Inverters with Current Sharing Reactors
Bibliographic record
Abstract
Renewable energy sources are quickly becoming incorporated into increasingly distributed electrical utility grids. An ever present issue when interfacing these sources is that of harmonic distortion reduction at the inter-tie point. One very interesting approach to reduce harmonic distortion is to synchronize power transistor operation for inverters operating in parallel. In this paper, a rarely employed technique for harmonic reduction using synchronized phase shifted parallel PWM inverters with current-sharing reactors is presented and analyzed. Using the technique presented inverter output distortion can be reduced significantly, for example total harmonic reduction can be reduced typically in half using just two synchronized phase-shifted parallel inverters (our simulation and experimental studies indicate that even smaller distortion reduction factors can be achieved). We present analyses for two and three phase-shifted inverters operated in parallel employing current sharing reactors. Our analyses consider the impact of a wide range of phase-shift delays on net output total harmonic distortion, with the phase-shift delay from zero to one entire cycle of the fundamental component. Some results are expected, such as a dramatic increase in distortion when the fundamental components between multiple inverters tend to cancel out, on the other hand it is interesting to observe a leveling-off, and gradual, smooth increase in the distortion reduction factor over a significant portion of the phase-shift delay variable.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".