PSCAD/EMTDC modelling of active filters for HVdc applica ions
Bibliographic record
Abstract
In recent years, major power engineering equipment manufacturers such as Siemens and ABB have proposed the use of active filters in place of traditional passive filters in their newer HVdc schemes. The compact design and many other advantages offered by active filters over their passive counterpart have increased the appeal for this new technology. The aims of this thesis are to develop detailed PSCAD/EMTDC$\\sp{\\rm TM}$ models of active filters for both the ac- and dc-side of an HVdc scheme. The models are then integrated into the CIGRE HVdc Benchmark Model through suitably designed de-coupling elements, to evaluate their effectiveness in reducing harmonic currents in the system. Transient simulations have been carried out to examine the active filter controller responses to transient conditions typical to such an HVdc scheme. This thesis also includes an investigation into the feasibility and performance of an ac-side active filter installation within the Capacitor Commutated Converter (CCC) HVdc scheme.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".