A Framework to Avoid Maloperation of Transformer Differential Protection Under Geomagnetic Disturbances
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Bibliographic record
Abstract
Geomagnetically Induced Currents (GICs), which are generated due to Geomagnetic Disturbances (GMDs), can saturate the cores of power transformers and their associated Current Transformers (CTs). To avoid maloperation of transformer differential relays in the presence of GICs, this family of relays is often equipped with Harmonic Blocking (HB) or Harmonic Restrain (HR) functions. These two functions, however, negatively impact the sensitivity and dependability of differential relays during GICs. Thus, if an internal fault occurs due to the heat and stress imposed by GICs, it might remain uninterrupted. On this basis, this paper proposes an auxiliary framework for single-phase transformers or three-phase transformer banks to address the above-mentioned problem for differential relays and their CTs without sacrificing the sensitivity and/or speed of differential protection. This framework benefits from the Linear Parameter Varying (LPV) state-space equations of CTs and power transformers, and convert them into their polytopic form. Then, it employs LPV observers to estimate the states of the transformer and its CTs. To counter CT saturation, the framework precisely calculates the primary currents of CTs based on their secondary currents, allowing the differential scheme to use the estimated primary currents rather than distorted secondary currents. Furthermore, the proposed framework detects internal faults by comparing the estimated primary current of the transformer with the measured one. The difference between the estimated and measured currents is almost zero when no internal fault is present during GMDs; however, the discrepancy between the two grows as soon as an internal fault occurs. The effectiveness of the proposed framework is validated through simulations performed in EMTP.
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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 | 0.001 |
| 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