A computer-aided technique for generating substation interlocking schemes
Why this work is in the frame
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Bibliographic record
Abstract
The continuity of power supply is maintained by reconfiguring a power system as its operating state changes. The reconfiguration is done by opening and closing circuit breakers and isolators. An improper operation of a switch can damage equipment and/or adversely affect the quality of the supply to the customers. Switching operations are performed by operators (as well as by substation controllers) using pre-defined guidelines including interlocking of switches. A major obstacle in using computerized switching schemes is that interlocking logic has to be designed specifically for each substation. This paper describes the design of a software application that can be used to automatically generate interlocking schemes for substations. The software has two components, one to generate the interlocking scheme from the substation data and the other to generate switching instructions and implement them. Three examples of interlocking schemes are included in the paper.
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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 it