Modulation Index Optimization and Fault Blocking Capability of Transformer-Less Modular Multilevel DC–DC Converters
Bibliographic record
Abstract
High-power DC-DC Converters are crucial for interconnecting HVDC systems with different voltage levels. This paper presents the optimal design and operation of transformer-less hybrid modular multilevel dc-dc converters (MMDCs) that consist of both the half bridge submodules (HBSMs) and the full bridge submodules (FBSMs). Since the arm internal dc component voltage and ac component voltage can be freely selected, the optimal modulation index that minimizes the kVA of switches is derived for different voltage conversion ratios. Overmodulation is also considered to minimize the cost of the converter. For system security and reliability reasons, the dc fault-blocking capability is a preferred feature of dc-dc converters for HVDC applications. Benefitting from using the hybrid SMs, the dc fault-blocking capability of hybrid MMDCs is also investigated. The performance of the hybrid MMDC is validated by real-time simulation and a lab-scale test bench.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".