Bibliographic record
Abstract
In viewing an increased ratio of renewable resources like solar and wind farms, point-to-point Voltage Source Converter based High Voltage DC (VSC-HVDC) system commissioning are on the rise worldwide. They are becoming techno-economical solutions for integrating bulk renewable resources into significant load centers. In this scenario, it is requisite by most of the grid codes that VSC-HVDC grids need to provide ancillary services to the AC grids. Ancillary services such as active power and frequency support are crucial for the stability and reliability of the power system. Henceforth, this paper proposes a control strategy to achieve these ancillary services through the VSC-HVDC system. The proposed control method introduces the active power and frequency loops into conventional control and extracts the support from a point-to-point VSC-HVDC system. To validate the proposed control strategy, two case studies and a test system which is a point-to-point VSC-HVDC integrated into Kundur’s two-area power system, have been considered. An RT-LAB simulation platform has been used to develop and model the test system. Further, the performance of the proposed method is demonstrated in real-time by using one of the OPAL-RT simulators, OP5707.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".