Prediction of Breakdown Voltage of Long Air Gaps Under Switching Impulse Voltage Based on the ISSA-XGBoost Model

Prediction of Breakdown Voltage of Long Air Gaps Under Switching Impulse Voltage Based on the ISSA-XGBoost Model

In transmission lines, the discharge characteristics of long air gaps significantly influence the design of external insulation. Existing machine learning models for predicting breakdown voltage are typically limited to single gaps and do not account for the combined effects of complex factors. To a...

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Bibliographic Details
Main Authors: Zisheng Zeng, Bin Song, Shaocheng Wu, Yongwen Li, Deyu Nie, Linong Wang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Energies
Subjects:
long air gap
breakdown voltage
electric field feature extraction
improved sparrow search algorithm
XGBoost
Online Access:https://www.mdpi.com/1996-1073/18/7/1800
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