Study of the Impact of Switching Transient Overvoltages on Ferroresonance of CCVT in Series and Shunt Compensated Power Systems
Bibliographic record
Abstract
Ferroresonance phenomenon (FP) in a coupling capacitor voltage transformer (CCVT) profoundly deforms the voltage waveform. Transient overvoltage due to transmission line switching, particularly in series and shunt compensated power systems, is one of the most important issues that increases the exposure level of the CCVT to FP. A probabilistic study focused on the impact of transient overvoltages on the FP in CCVT is conducted in this article. Through this framework, the behavior of different types of ferroresonance damping circuits (FDCs) is investigated. By investigating the effect of several factors such as switching instance and different fault types in the presence of series and shunt compensation in the power system, the probability density function of the CCVT primary (bus voltage) and secondary (CCVT output) voltage signals with/without different FDCs is obtained. A criterion based on total harmonic distortion, designed to identify and determine the severity of the FP, is also introduced. Simulation results confirm that overvoltages in a series and shunt compensated power system will enhance the vulnerability of the CCVT against FP.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".