Disturbance-estimator predictive current controller for 1φ interconnected PV systems
Bibliographic record
Abstract
This paper presents the analysis, development, and experimental performance of a predictive current controller that is featured with a disturbance estimator. The developed current controller is designed to operate a single phase (1φ) grid-side power electronic converter (PEC) employed in photovoltaic (PV) systems. The disturbance estimator is used to reduce the controller sensitivity to parameter variations, as well as to reject grid side disturbances. The design of the controller and its disturbance estimator are carried using the pole-placement method. The performance of the developed current controller is experimentally tested for a 5.4 kW interconnected PV system under different levels of power delivery to the grid that are accompanied with different variations in system parameters. In addition, other controllers used for interconnected PV systems are tested to highlight the advantages of the developed current controller. Performance and comparison results show accurate, fast, and robust responses that are initiated with negligible sensitivity to parameters variations and disturbances on the grid side.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 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".