Three-phase reactive power control using one-cycle controller for wind energy conversion systems
Bibliographic record
Abstract
This paper presents a new power factor correction scheme for a three phase wind energy conversion systems (WECSs). The proposed scheme provides power factor correction (PFC) with respect to the back-EMF of a permanent magnet synchronous generator (PMSG) instead of the terminal voltage. Since there exists a series impedance between the back-EMF and terminal voltage, performing PFC with respect to the terminal voltage leads to the additional reactive power generated by the back EMF. This additional reactive power degrades the capacity of the generator. In this paper, a novel three-phase reactive power control technique based on the one-cycle control scheme is presented in order to eliminate the need for additional reactive power. In the proposed technique, the terminal voltage and current of each phase are measured and the optimal power factor is regulated at the generator's terminals. The optimal reactive power is determined in the proposed control scheme by introducing a fictitious reactive current, derived from the input voltage, in the control law. The simulation and experimental results show the optimal performance of the proposed technique in terms of 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) | 0.001 | 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".