A simple approach to current THD prediction for small-scale grid-connected inverters
Bibliographic record
Abstract
The total harmonic distortion (THD) of the grid current is the key parameter to gauge the performance of power quality for grid-connected inverter output as well as required by the grid interconnection standards, such as AS4777 and IEEE1547. However, the prediction of current THD is complicated and normally accompanied by massive amounts of numerical calculations, which depends on many factors such as control algorithms, modulation techniques, switching frequencies of power electronics devices and etc. In this paper, a simple method that the output current is decomposed into a fundamental component and ripple currents is proposed to estimate the current THD for small-scale grid-connected inverters. In addition, as current harmonics in high frequency ranges can be attenuated or even eliminated by filter technologies, a particular model of current THD performance based on the requirement of the grid interconnection standards is built afterwards. The THD prediction model of the grid current is verified by experiments conducted on a 10kW single-phase inverter.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".