An accurate deadbeat control method for grid-tied converter using weighted average current sensing
Bibliographic record
Abstract
To satisfy the requirement of operating DG units in both grid-tied and islanding microgrids, relatively large shunt capacitors are often selected for the output LCL filters of power converters. This modification can bring a few challenges, such as harmonic distortions and steady-state tracking errors, to the line current regulation during power converter grid-tied operation. In addition, the line current control problems can be more severe when the model-based one-step deadbeat current control scheme is used to reduce the computational load of DG unit controller and to enhance the dynamic current response. To overcome these limitations, a resonance dampened control method is developed utilizing the concept of the recently proposed weighted average current control with two current measurements. First, the weighted average current is accurately controlled via a modified deadbeat control scheme based on a virtual filter plant. To reduce the line current tracking errors caused by weighted average current approximation, a simple feed-forward term using existing grid voltage measurement is added to the line current reference of the proposed deadbeat control. Simulated and experimental results validate the effectiveness of the proposed method.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".