Predicting Switch ON/OFF Statuses in Real Time Electromagnetic Transients Simulations with Voltage Source Converters
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Bibliographic record
Abstract
Power converters in system-level real-time simulations are usually emulated by using an L/C associated discrete circuit (L/C-ADC)in a fixed time-step simulation. However, there are several potential inaccuracies in L/C-ADC based simulation results: unrealistically high virtual loss especially at high PWM frequencies, fictitious current oscillations between the Land C represented devices, and limitations in the impedance ratio between OFF and ON switch representations. Therefore, there are potential benefits from using switched-resistance representations of electronic switch devices. Fortunately, such simulation has recently become feasible due to the higher performance of newer computer processor cores. However, the switched-resistance representation of switches requires reliable prediction of the ON/OFF statuses of the switch devices before each simulation time-step. This paper describes a method for highly reliable prediction of ON/OFF switch statuses for voltage source converters with switched-resistance switch representations in fixed time-step simulation. Real-time simulation results are presented for systems containing 2-level and 3-level voltage source converters. The technique could be practised in non-real-time simulation for much more complicated converters.
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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 it