Control of a PMSG Wind-Turbine Under Asymmetrical Voltage Sags Using Sliding Mode Approach
Bibliographic record
Abstract
The control and operation of a grid-connected wind-turbine with a permanent magnet synchronous generator have been investigated under asymmetrical voltage sags at the grid side. To deal with such conditions, a fast-acting control scheme is needed. It is shown in this paper that a sliding mode control can meet the challenge. In the proposed control scheme, the dc link voltage, and active/reactive powers are decoupled first so that the asymmetrical voltage sag issues can be dealt with independently. To minimize additional stress inflicted by the asymmetrical voltage sag on the power electronic converters, a feed-forward negative sequence voltage is used in the vector current control strategy. Using the developed control scheme, the wind power generation system can remain on-line to support the grid even during the asymmetrical voltage sags. The effectiveness of the proposed control scheme has been validated by extensive simulations as well as through real-time hardware based experiments on a physical wind-turbine test platform.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 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".