Grid integration of DFIG-based offshore wind farms with hybrid HVDC connection
Bibliographic record
Abstract
This paper proposes a new HVDC (High-Voltage DC) transmission topology, its modeling and control method, used for large doubly-fed induction generator (DFIG)-based offshore wind farms. The sending end is a line commutated converter (LCC) with a STATCOM (Static Compensator) while the receiving end is a current source inverter (CSI) using IGBTs. The STATCOM provides stator voltage support for DFIGs, as well as commutation voltage for the LCC. The LCC regulates the active power produced by DFIG wind farms, and transmits it to the onshore inverter through HVDC link. Working in constant voltage control mode, the inverter then feeds the active power into the main AC grid. Simulations verify that, as a combination of existing LCC-HVDC and VSC (Voltage Source Converter)-HVDC technologies, the proposed system not only has the black start capability, possesses fast active power dynamics, but also can provide independent reactive support to the grid.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".