Full-wave Transmission Tower Modeling for Electromagnetic Transient Analysis of Power Systems
Bibliographic record
Abstract
BPE (FAPESP grant)-with Prof. Dr. Behzad Kordi from the University of Manitoba (UofM), Winnipeg, Canada. This document presents a continuation of the post-doctoral project from the São Paulo Research Foundation (FAPESP grant:2019/01396-1) proposed by the researcher Dr. Anderson Ricardo Justo de Araújo at the University of Manitoba (UofM) in Canada under the supervision of Prof. Dr. Behzad Kordi. In this context, the document elucidates some aspects of the original project that the reviewer pointed out. The objective of the research internship is to model transmission towers (conventional and tall structures) and to predict the occurrence of backflashovers (BFs) when lightning strikes hit overhead power lines. This model consists of a tower structure, including the tower-footing grounding system, buried into a realistic soil model. Then, the tower structure model is represented by an electric circuit inserted, where the phase and shield wire conductors are added in any Electromagnetic transient (EMT)-type simulators in which the time-domain transient analysis can be carried out for the lightning strikes. In this project, the software ATP will be used, where a black-box model will be developed for transient analysis. Once this model is validated, it can predict the occurrence of BFs across the insulator strings can estimate the induced voltages on the phase conductors and cross-arms and the generated transient Ground Potential Rise (GPR) on the tower-footing grounding system. These facts are essential because the insulator strings can be projected accurately and safely to avoid outages in power systems and reduce the maintenance costs for the utilities. Furthermore, this research internship will provide several other benefits for his research group at the School of Electrical and Computer Engineering (FEEC) at the State University of Campinas (UNICAMP). For example, new models of electric components in power systems to properly assess the electromagnetic transient generated under several scenarios and new tools to implement in the EMT-type simulators such as ATP.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".