FCS-MPC for grid-tied three-phase three-level NPC inverter with experimental validation
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Bibliographic record
Abstract
Distributed power generation systems (DPGS) tend to increase their capacities of production of electricity. Multilevel converters are considered today among the most suitable topologies for DPGS connected medium voltage grids. On the other hand, Finite-Control-Set Model Predictive Control (FSC-MPC) has become in the last decade a promising control method thanks to its fast dynamic response and robustness. In this paper, this control method is applied on a grid-tied three-phase three-level neutral point clamped (NPC) inverter. The main objectives behind the proposed method are: performs a perfecto control of the powers exchanged with the grid active and reactive powers in steady state operation, and avoid the overcurrent due to the grid faults. The effectiveness of the proposed FSC-MPC applied on the NPC converter is validated with numerical simulations and experimental tests.
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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 | 0.001 |
| Open science | 0.001 | 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