Contribution to the Modeling of Electromagnetic Lightning Transients in High Voltage Power Transmission Lines Connecting Regions With High Storm Density
Bibliographic record
Abstract
The power grid connects electricity production to end uses, providing a physical link for the circulation of energy flows while providing services to the community. The rapid development of technology makes power grids increasingly complex, transmission lines play a crucial role in electricity transmission. However, transient phenomena such as short circuits caused by lightning can propagate between substations, affecting power distribution and requiring real-time management of electrical quantities to maintain the frequency and efficiency of these systems. This paper deals with the modeling of electromagnetic transients due to lightning in high-voltage lines, especially in thunderstorm areas. The bi-exponential model allows us to faithfully represent the lightning shock wave and its impact on these lines. The modeling of the lightning electromagnetic field and its coupling with a high-voltage line were carried out using Maxwell's equations and a transmission line model. The FDTD method allowed us to present the results of the voltages and currents induced by this field in the time domain. We used the Laplace transform to obtain frequency results. The study applied to the test network in the Democratic Republic of Congo shows that the voltages induced by lightning, linked to the amplitude of the disturbing current, jeopardize the life and safety of HV equipment. The 2D simulations highlight the importance of the coordination of the insulation to guarantee the stability of the power transmission lines. Integrating a passive ohmic-capacitive damping circuit in the control part of the protection system dedicated to tropical areas could attenuate the electromagnetic lightning transients and improve the performance of the high-voltage line.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".