Parametric average value modeling of high power AC/AC cyclo converters
Bibliographic record
Abstract
Line-commutated thyristor-controlled AC/DC and AC/AC converters are commonly used in high power industrial applications. Therefore, analyzing industrial distribution systems requires accurate and computationally efficient models that may be easily implemented in simulation software packages. Average-value models (AVMs) avoid the discrete switching of the converters, provide accurate system-level steady-state and transient simulation results, which make such models particularly suitable for large scale studies of power electronic systems. Parametric average value modeling (PAVM) is one of very promising techniques resulting in accurate models that are also considerably simpler in terms of mathematical complexity. The PAVMs for AC/DC converter systems have been thoroughly analyzed in literature. This paper proposes a new PAVM for AC/AC cyclo-converters which supply the load at lower AC frequencies. The superior performance and computational advantages of the proposed PAVM of cyclo-converters are verified against the detailed model in terms of CPU efficiency as well as numerical accuracy.
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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 | 0.000 |
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".