A new hybrid series active filter configuration to compensate voltage sag, swell, voltage and current harmonics and reactive power
Bibliographic record
Abstract
This paper proposes a new system configuration for a series hybrid power filter (SHPF) realized for all harmonic types of loads. The series hybrid filter consists of a small rated series active power filter (SAPF) and a shunt passive filter with variable inductance using a thyristor control reactor (TCR). The DC voltage available at the load side of a typical voltage harmonics source, such as a diode bridge rectifier followed by a capacitor, is utilized as a source of DC power for the SAPF. To increase the filtering performance of the shunt passive filter, SAPF is control in such a way that it increases the network impedance at the harmonic frequency. This also helps to avoid any series or parallel resonance that may occur. The shunt passive filter together with a TCR is used to support the variable load reactive power demand as well to tackle the current harmonics generated by non-linear load. The performance of proposed series hybrid power filter is validated through MATLAB/Simulink simulation study and successfully utilized to compensate the voltage sag, voltage swell, voltage harmonics, current harmonics and load reactive power demand.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".