Impact of plant outage on ferroresonance and maloperation of differential protection in the presence of SVC in electrical network
Bibliographic record
Abstract
Ferroresonance is phenomena, which emerged in case of different circumstances such as short circuit and breaker phase failure. In addition, plant outage is another cause of ferroresonance. Ferroresonance may cause maloperation of some protective devices such as differential protection. In this study, Manitoba hydro network is analysed in power systems computer‐aided design/electro‐magnetic transient design and control to recognise ferroresonant configurations in case of plant outage. Impact of ferroresonance on maloperation of differential protection is analysed. A static var compensator (SVC) is installed at the mid‐point of the network to mitigate ferroresonance. Operation of relay is assessed in the presence of SVC; furthermore, effect of parameters and components of SVC on operation of differential protection is investigated. Then, an adaptive algorithm is designed in differential relay to recognise ferroresonance and prevent maloperation of the relay.
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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 | 0.001 |
| 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) | 0.001 | 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".