Real‐time detection of vulnerable power system areas to geomagnetic disturbance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study proposes an approach for the fast and accurate identification of the vulnerable areas of the power system to geomagnetic disturbance (GMD). The proposed method can be used for real‐time situational awareness and preparedness in power system control rooms and proactive mitigation of the GMD threats. In addition, it can be employed as an off‐line GMD vulnerability assessment tool for power system planning analysis. In this study, a generalised mathematical basis is presented to find the maximum geomagnetically induced current (GIC) flow in the multi‐zone earth structure based on the orthogonal GIC components. Furthermore, a real‐time frequency estimation method is developed based on wavelet transform to estimate the frequency of the geomagnetic waveform for the maximum GIC calculation. The proposed approach is applied to the Ontario 500 and 230 kV transmission systems to identify the vulnerable equipment. The results are also compared with the angle sweep results. The numerical results reveal that not only the proposed method is more accurate but also significantly faster than the angle sweep method. Such prominent features introduce the proposed approach as a preferable method for real‐time applications and optimisation of power system operation during GMDs.
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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) | 0.002 | 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 it