Series active filter to mitigate power quality for medium size industrial loads (multi Pulses Transformer and modern AC drive)
Bibliographic record
Abstract
This paper presents a design methodology of a combined series active filter with eighteen-pulse transformer and a PWM converter. The series active filter prevents dysfunctional in PWM converter in case of dips or sags in voltage source under disturbed regime. It also compensates harmonic voltage produced by the load in eighteen-pulse transformer. The current harmonics compensation in the whole system is assured by the eighteen-pulse transformer operating as phase's multiplication and by the PWM converter themselves. The control technique of the series active filter uses the SRF (synchronous reference frame) method; the PWM converter uses an indirect current control and the phase multiplication uses delta-polygon connection. The aim of this paper is to provide an alternative solution to UPQC system. The simulation results of the series active filter with two loads namely multi pulse transformer and a PWM converter using Matlab simulink are presented
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".