Third zone protection to discriminate symmetrical fault and stressed system conditions
Bibliographic record
Abstract
Disastrous effects resulting from power system security issues have been pointed out in various blackout reports. In these reports, setting of the third zone reach being large was found to be a major reason. In addition to a fault, the apparent impedance measured by the relay can also enter the third-zone setting for different stressed events, such as load encroachment, power swing, and voltage instability, and thus be misinterpreted as a three-phase fault, leading to relay maloperation. To improve the functionality of the relay under such dire situations, a local end information-based technique is proposed. The scheme uses the Teager energy-based approach for developing an index criterion. As per the proposed method, after the entry of the impedance into the relay zone-3 characteristic, the index is checked. If both the impedance and the index cross their respective thresholds, the disturbance event will be detected as a fault. Otherwise, it will be a no-fault condition and undesired relay operation avoided. Reliability of the proposed technique is tested for various power system events by simulation on the New England 39-bus, 10 machine test system.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".