Cost effective method for DFIG fault ride-through during symmetrical voltage dip
Bibliographic record
Abstract
This paper presents a cost-effective scheme to improve the fault ride through capability of wind turbines with doubly fed induction generators. As an alternative to using crowbar, the proposed scheme includes the stator side series-connected braking resistors, dc-link chopper and coordinated control strategy of the whole system. The proposed scheme enable the rotor converter always be connected to the system such that the DFIG will not lose controllability during fault and can almost immediately generate reactive power to support the grid after the beginning of the fault. The series-connected braking resistors can help the transient decay very fast and, at the same time, dissipate the energy of the wind turbine to reduce the rotor speed deviation during fault. Dynamic behavior of DFIG-based wind turbines during grid faults is discussed based on theoretical analysis and simulation results. It is shown that the proposed scheme can not only help the whole system ride through the fault but also reduce the stress on turbine mechanical systems.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 | 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".