Wide-band modeling of modular multilevel converters using extended-frequency dynamic phasors
Bibliographic record
Abstract
This paper presents a model for a Modular Multilevel Converter (MMC) using extended-frequency dynamic phasors. The model is based upon a series of harmonicfrequency representations that are obtained for the fundamental and dominant harmonic components. Depending on the requirements of the study to be conducted and the desired level of model accuracy, a low-order model (i.e., average-value) or an arbitrarily wideband model may be constructed. The paper describes the principles of modeling using extended-frequency dynamic phasors, and applies them to an MMC connected to a power system represented using a Thevenin equivalent. The model contains details of the MMC's control system including its high-level control circuitry, as well as voltage balancing and synchronization components. The developed model is then validated by comparing it against a fully-detailed electromagnetic transient (EMT) simulation model developed in PSCAD/EMTDC simulator. Comparisons are made to establish the accuracy of the model (both its low-order and wide-band variants) and to assess the computational advantages it o ers compared to conventional EMT models.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".