Technical program detail
Bibliographic record
Abstract
HVDC VSC technology has developed extremely quickly and offers many attractive alternatives over the more mature LCC HVDC technology.This workshop will discuss VSC converter theory, VSC system configuration, the operation of VSC technology, as well as a comparison of VSC and LCC HVDC technologies.There is significant operational flexibility of VSC convertors control systems.VSC Control methods are introduced.The simulation of VSC MMC technology presents several EMT simulation challenges.The current status of simulation and model development is presented.A sample of simulation results discussing the unique issues for start-up and Dc line recovery for VSC systems is introduced.Presenter Bio: Randy Wachal graduated from the University of Manitoba with BSc EE in 1981.Randy joined Manitoba Hydro where he worked for 13 years on the Nelson River HVDC System as a Control Design and Commissioning Engineer.In 1995, Randy joined the Manitoba HVDC Research Centre where he is currently the Engineering Systems Manager.Randy has been involved in specification, PSCAD simulation, commissioning and lifetime investigation studies on a number of HVDC and SVC systems.Randy is a professional
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.537 | 0.347 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".