A method to assess GIC impact on zero sequence overcurrent protection of transmission lines
Bibliographic record
Abstract
Geomagnetically Induced Currents (GIC) induced by a geomagnetic disturbance on the Earth surface, may saturate transformer cores. A saturated transformer draws more reactive power from the grid and injects harmonics into the grid. Subsequently, this can compromise the operation and reliability of the protection systems. It is important to identify the vulnerability of the protection schemes during GIC and to take appropriate remedial measures. This paper presents a method to assess the impact of GIC on the protection. With this method, the assessment of a complicated GIC scenario is converted to a simple fault calculation. In this paper, the application of the proposed method on the zero-sequence overcurrent protection of the transmission line in Hydro One transmission system is discussed. It is shown that the zero-sequence current under GIC conditions can be calculated by applying the line-to-ground and double-line-to-ground fault at the two ends of the line. As a part of an asset management strategy, the proposed approach can result in a significant saving in the equipment investment by identifying the problematic protection schemes having the GIC issues.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".