Single-Stage MMC for Single-Phase AC–DC Applications Using Anti-Series Half-Bridge Submodules with Ultra-Low Capacitance
Bibliographic record
Abstract
In this paper, a self-balancing single-stage modular multilevel converter (MMC) is proposed for medium-voltage AC to low-voltage DC applications. The proposed structure utilizes a novel type of submodule which consists of two half-bridges connected in an anti-series arrangement. The proposed converter features minimized stored energy requirements. This is a consequence of (i) operating the converter in such a way that the submodule capacitor voltages naturally follow the AC network voltage, and (ii) that the twice line-frequency power pulsations from the AC network are buffered by the low-voltage DC network. Additionally, the converter employs an interleaved structure that facilitates the natural circulation of switching harmonics within the converter, which reduces the AC network filtering requirements. The topology exhibits operational similarities to the dual active bridge (DAB) converter used in DC-DC applications, and as a result, it requires a control of relatively low-complexity. This paper introduces the proposed topology and its operating principles. Experimental results from a laboratory-scale prototype are provided for 273 Vrms to 150Vdc and 1.3kW.
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".