Protecting modular multilevel converters (MMC) against ac fault by deadbeat control
Bibliographic record
Abstract
The paper shows that deadbeat control and harmonic elimination by feedforward and feedback can be implemented by MMC. In tracking the current reference, MMC is: (i) safe from large destructive of ac faults; (ii) free from the odd harmonics generated by the nonlinearities of MMC. As deadbeat control cannot filter the even harmonics on the dc side, their elimination has to be done by feedback and feedforward methods developed by many researchers, including the authors. However, the cost saving from capacitor size reduction, made possible by the even harmonic elimination methods, comes to naught when large ac fault currents charge the capacitors to voltages destructive to IGBTs. Deadbeat in preventing the voltage levels from rising ensures that cost saving from capacitor size reduction is feasible. Claims are validated by simulations by SIMULINK of MATLAB.
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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) | 0.000 | 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 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".