Stability and accuracy evaluation of a power hardware in the loop (PHIL) interface with a photovoltaic micro-inverter
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Stability and accuracy of PHIL simulation depends upon the characteristics of the interface between the RTS and the hardware device under test. Even when stable PHIL is achieved, the non-idealities in the PHIL interface introduces inaccuracies in the simulation results. Software models that include representation of the PHIL interface provide a method to evaluate the stability and accuracy of a PHIL interface. In most instances the required parameters and circuit topology of the power devices that are to be tested are unavailable, thus making it difficult to prepare the required software models. This paper will discuss the challenges of evaluating the stability and accuracy of a PHIL simulation with a grid-connected photovoltaic micro-inverter whose parameters and converter topology are unknown.
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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 | 0.001 | 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