Reduced switch number single-phase shunt active power filter using an indirect current control technique
Bibliographic record
Abstract
This paper proposes a new indirect current control technique for single phase shunt active power filter (SPSAPF), based on current-controlled PWM converters, which allows precise compensation of harmonic current and reactive power produced by nonlinear loads. This method may reduce greatly the switch SPSAPF and eliminate the ripples in the supply current shapes. To evaluate its performance, we have compared it with the direct current control technique based on the classic demodulation method. The classic demodulation method of the single-phase circuits is used to obtain reference current. Usually, this later method uses a residual signal build from the comparison between the reference desired current and the actual reference current of the SPSAPF. Whereas, the new indirect method uses a residual signal constructed from the comparison between the supply current and the desired value. This implies a great reduction in the number of the SPSAPF switches and an elimination of the ripples in the supply current shape. Simulation results using power system blockset toolbox PSB of Matlab show the performance of the new control algorithm with a reduced switch SPSAPF circuit and its capability to compensate for harmonics and reactive power.
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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) | 0.002 | 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".