Voltage-source converter control under unbalanced grid conditions for a variable speed wind energy system
Bibliographic record
Abstract
This paper presents a grid-side model and control for small wind turbines connected to the grid using a back-to-back converter. The control is developed to transmit all power generated by an induction machine to the grid and to match grid requirements. The grid synchronization is achieved by a Double Synchronous Reference Frame Phase Locked Loop (DSRF-PLL) even during grid faults or unbalanced conditions. The study of the DC-bus power leads to the compensator design which regulates the DC-bus voltage to a reference signal. Active and reactive power control is implemented so the system is able to act on each power independently. Thus, a vector oriented field control on currents is built to transfer all the power from the wind turbine to the grid and to keep the power factor to 1. Simulation results for the system performances under unbalanced conditions are presented.
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How this classification was reachedexpand
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) | 0.001 | 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 teacher head, 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".