High-performance induction generator-wind turbine connected to utility grid
Bibliographic record
Abstract
This work proposes a wind generation system connected to a grid using self-excited induction generator (SEIG). The stator currents of the induction generator (IG) are optimally controlled using indirect orientation control (IFOC) according to the generator speed in order to maximize the generated power from the wind turbine. The IG is controlled by the maximum power point tracking (MPPT) below the base speed and the maximum energy can be captured from the wind turbine. The paper presents an IFOC for IG with rotor flux to maintain the DC-link voltage at constant value. During voltage buildup, the variation of the magnetizing inductance is taken into consideration. The DC-link power is transferred to the gird via inverter with vector control. By using the vector controller and the synchronous frame current regulators both the input and output currents of the integrated system are characterized with fast current response and low harmonic distortion. The complete system has been simulated with different wind velocities. The simulation results show the effectiveness of the proposed MPPT wind energy system.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".