A ZVS parallel-series dual-bridge phase-shift DC/DC converter with two degrees of freedom used in hybrid renewable energy power conditioning systems
Bibliographic record
Abstract
This paper presents a new two-bridge parallel-series DC/DC converter topology which can operate with ZVS over a wide input and load range. This intended application for this converter is power conditioning systems (PCS) of photovoltaic (PV) arrays used in hybrid renewable energy architectures. The proposed topology provides two degrees of freedom to the converter which enabling it to regulate the DC-link voltage while tracking the maximum power point (MPP) of the PV array. This topology distributes the main power into the two bridges and the phase-shift between the two bridges provides another degree of freedom for the PCS to track the MPP. Since the main power is channeled between the two bridges, the system shows a modular structure which efficiently transfers the power to the load. The proposed converter is also able to achieve soft-switching over a wide range. A 2kW experimental prototype has been provided to validate the feasibility and performance of the converter. Theoretical analysis and experimental results prove that the converter is able to regulate the DC-link voltage and track the maximum power extracted from the PV array simultaneously.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".