Closed-loop SPWM control for grid-connected buck-boost inverters
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Bibliographic record
Abstract
DC input voltage of inverters fluctuates dramatically in distributed generation applications such as in a wind energy system. Yet, a high quality AC output is required for grid interconnection under variable source conditions. Previously developed control strategies mainly focused on improvements under load variations, a DC input of relatively small ripples, etc. This paper proposed a closed-loop sinusoidal PWM control method with real-time waveform feedback techniques for a grid-connected buck-boost inverter. The control-to-output function was derived through steady state modeling based on the power balance condition, which provides an approach when the output cannot easily be characterized in a single-stage buck-boost inverter. The closed-loop control model was studied with a newly-invented single-stage buck-boost inverter circuit. Simulations verified the method provided fast dynamic response and robustness under large DC voltage variations, nonideal grid voltage, and component parametric uncertainties. The controlled inverter achieved a low-THD sinusoidal output with a small AC filter and without a DC link capacitor. Therefore, it is concluded that the proposed method can be a preferred choice for grid-connected buck-boost inverters in distributed generation systems.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it