A grid-connected induction machine capable of operation at unity and leading power factor
Bibliographic record
Abstract
This paper presents a method to operate a grid-connected induction machine such that reactive power may be supplied to the grid. Using the principle of series voltage injection, two control approaches are presented. The first control approach is suitable for systems with steady loads and allows the reactive power flow to be dynamically controlled. The second control approach may be applied to systems with variable loads and results in operation with a leading power factor The principle of operation is demonstrated using an induction machine with a three-phase converter and floating DC link inserted into the circuit at the Y-point. The converter is controlled to inject 3-phase voltages at the motor Y-point to introduce a phase-shift between the motor winding voltage and the grid voltage. As the magnitude of the injected voltage is adjusted, the phase angle of the machine current can be shifted to be less lagging, in phase with or leading the grid voltage. The paper presents the theory behind the approach together with simulations and experimental results. The results demonstrate reactive power supply to the grid.
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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) | 0.003 | 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".