A new multi-port active DC-link for PMG-based WECSs
Bibliographic record
Abstract
This paper presents the development and performance evaluation of a new active multi-port dc-link for applications in permanent magnet generator (PMG)-based wind energy conversion systems (WECSs). The proposed dc-link is developed as a mid-stage between a three phase (3φ) multilevel ac-dc generator-side power electronic converter (PEC) and a 3φ 6-pulse dc-ac grid-side PEC. The design of the dc-link is based on a multi-port converter (MPC) topology with two dc-dc PECs, which have their outputs connected in parallel. Each dc-dc PEC is operated and controlled independently, in order to achieve separate voltage-transfer ratios, along with the possibility of processing continuous or discontinuous input dc voltages. The performance of the MPC active dc-link is evaluated in experiments for a 7.5 kW PMG-based WECS under different operating conditions. Test results show that the proposed dc-link is capable of producing a high quality regulated dc voltage over a wide range of wind speeds, and increasing the extracted power from the PMG. Performance results also demonstrate that the operation of the MPC active dc-link has minor impacts on the harmonic distortion at the terminals of the PMG, along with negligible impacts on the operation and control of the grid-side PEC.
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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 | 0.001 | 0.001 |
| 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) | 0.005 | 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".