Emulation of an Isolated Induction Generator Under Unbalanced Conditions
Why this work is in the frame
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Bibliographic record
Abstract
The induction generator is an essential element of many renewable energy systems, such as wind power plants. The advantages of using induction machines (IMs) compared to other types of machines are well-known and discussed extensively in the literature. In isolated power systems, the self-excited induction generator (SEIG) is commonly used to feed power in remote areas. In this paper, a power electronic converter based SEIG emulator is developed using dSPACE to investigate the SEIG operation under unbalanced conditions. The induction generator (IG) model considering the saturation effect and variable stator/rotor leakage split ratio is established, and used in the SEIG emulator. The SEIG system under unbalanced condition is then simulated based on Matlab/Simulink. Furthermore, experimental results based on a real SEIG are presented to verify the developed machine emulator.
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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 it