A finite state machine model to represent inverters in photovoltaic system simulations
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
The simulation of photovoltaic (PV) power systems relies on appropriate models of the PV array, power conversion electronics, operating conditions and sometimes, energy storage and loads. This paper presents a model of intermediate complexity for grid-tie inverters that can capture many differences between specific products, yet remains generic enough to be used without expert knowledge of their internal circuits. The core of this model is a finite state machine (FSM) that defines the typical operating modes, or states, of grid-tie inverters and the conditions that lead to transitions from one state to another. Each state also defines parameters related to the transfer of electrical power, such as operating limits, conversion losses and maximum power point tracking efficiency. The increase in inverter temperature resulting from electrical losses is also modeled.
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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 | 0.001 | 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 | 0.000 |
| 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