Phase Selection and Directionality Issues when Protecting Lines with Series Compensation, HVDC Devices or Non-Traditional Generation
Bibliographic record
Abstract
More and more often series compensation, non-standard generation and power electronic devices co-exist in a vicinity of EHV transmission lines. A typical scenario is a relatively long transmission line already with elements of HVDC and/or series-compensation, interconnected to a new wind farm with significant capacity driven by non-standard machines. In some cases single-pole tripping is applied in order to maximize power transfer during reclosing, and to avoid synchronization of the islanded generation. During transients, in such systems complex interactions occur between series capacitors, multiple machines, and HVDC devices. This includes both the primary equipment, and the associated controls. As a result the system responds differently compared to a traditional network fed from synchronous generators. Some protection techniques that are well-recognized and successfully applied in traditional configurations may perform inadequately under such complex conditions. The paper lists protection concepts that must be carefully examined or tested before using in such a difficult application environment. It also proposes practical supervision methods that could be implemented via custom logic on a modern multi-function relay in order to solve some of the performance problems
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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".