Switching modules for the extraction/injection of power (without ground or phase reference) from a bundled HV line
Bibliographic record
Abstract
Summary form only given. A new class of devices is proposed for flexible AC transmission systems (FACTS) for HV power lines with bundled conductors. These new FACTS devices are based on switching modules (SMs), which are mounted on insulated portions of the transmission towers in close proximity to the line conductors. These SMs are composed of electromechanical and power electronic switches and could be coupled to some other passive components. Such SMs can be used for connecting/disconnecting one or more subconductors of a phase bundle of the power line at numerous line segments in the network. Power flow is managed in the line segment by changing the series impedance of the line segment with the SM. Furthermore; the SM could also be used for the extraction/injection of active/reactive power from a segment of the HV line. Power flow management in an electrical power transmission network could be achieved by using serial SMs distributed throughout the transmission lines of the network. The system and method could eventually be used for modifying, in a steady state or dynamic manner, the power flow through an electric power line. The passive components coupled with the SM improve the range of impedance modulation. A whole range of applications of the SMs could be developed
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.030 | 0.005 |
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".