Sensorless control for wind energy conversion system (WECS) with power quality improvement
Bibliographic record
Abstract
This paper presents a sensorless control of dc bus voltage of inverter and speed and rotor position of permanent magnet synchronous generator (PMSG) using the extended Kalman filter (EKF) for wind application. The analysis and modeling of a variable speed wind turbine (VSWT) based on PMSG connected to the grid are developed. The system consists of a VSWT/PMSG, three-phase insulated-gate bipolar transistor (IGBT) based rectifier, a three-phase IGBT based inverter and three-phase four wires (3P4W) nonlinear unbalanced load connected to the grid. The PMSG control strategy combines the maximum power point tracking (MPPT) approach and the EKF algorithm. For three-phase grid side converter, an indirect control is applied to give the improved quality of electrical energy at the grid under varying wind speed and pitch angle and to deliver the energy from VSWT/PMSG to the grid ensuring the supply of 3P4W nonlinear load. The ac grid supplies the energy to a 3P4W nonlinear unbalanced load in case of an unavailability of wind energy. To set the neutral current of grid to zero, the fourth wire (4W) for neutral of the load is connected to the midpoint of the two capacitors. Matlab©/Simpowersystem© simulation is performed to prove the effectiveness of the proposed approach.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".