Sliding Mode Control of Three-Phase series Hybrid Power Filter with Reduced cost and Rating
Bibliographic record
Abstract
This paper presents and discusses the viability of 3-phase hybrid series power filter compensator in a realistic distribution network. The proposed configuration can challenge unified power quality conditioner (UPQC) with less components and a cost. It ensures power quality by compensating current harmonics, reactive power, sag voltage, swell voltage and unbalance voltage. The main contribution is the proposed configuration integrating a control algorithm of the series active filter to compensate reactive power rather than using a thyristor controlled reactor (TCR). The strategy consists of integration a current source angle in the reference voltage to shifts a reference voltage to get unity power factor in the grid side. The sliding mode control (SMC) which a powerful control ensures a stability using Lyapunov candidate function validation. In order to reduce the rating of the active filter, a design of the passive filter is integrated to take care of reactive power and current harmonic compensation due to its low impedance at the harmonic frequency. The studies include simulation results and evaluations of the passive components used to compensate current harmonics. For the validation, an implementation and testing results are carry out using Matlab/Power Systems (PS).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".