Generalized Carrier-Based Modulated Power Control Scheme for Asymmetrical Dual-DC-Port DC-AC Converter in Battery Integrated PV Systems
Bibliographic record
Abstract
The asymmetrical dual-dc-port dc-ac converter features high integration, high efficiency, and low cost in battery integrated photovoltaic (PV) systems, due to the single-stage power conversion for PV and battery simultaneously. However, the voltage variation of both PV and battery causes the asymmetrical characteristics of the converters and leads to the difficulties of the modulation strategy. Moreover, the control target requires flexible regulation of the power flow among different ports within the single-stage converter. To address these challenges, a generalized carrier-based modulated power control scheme (GCBM-PCS) is proposed for the asymmetrical dual-dc-port dc-ac converter. The generalized structure contains the outer power control loop and inner modified carrier-based pulsewidth modulation (CB-PWM) with zero-sequence injection. The proper zero-sequence component is regulated by the outer power control loop. By introducing the asymmetrical carriers, the modulation is adaptive to the dc-port voltage variation. Besides, the relationship of the power distribution among different ports in terms of the variable dc-port voltages and controllable zero-sequence components of the proposed GCBM-PCS is quantitatively analyzed. The control algorithm is easy to be implemented by digital controllers. The effectiveness of the proposed power control scheme and modulation strategy is validated by experimental results.
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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) | 0.001 | 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 | 0.001 |
| 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".