An Operational Status Assessment Model for SF₆ High-Voltage Circuit Breakers Based on IAR-BTR

Area of Science:

• Electrical Engineering
• Power Systems
• Reliability Engineering

Background:

• Sulfur hexafluoride (SF₆) high-voltage circuit breakers are critical for power grid protection, with their operational status directly impacting grid reliability.
• Increasing extreme weather events necessitate considering both internal and external factors for accurate operational status prediction of these breakers.
• Existing methods may struggle with incomplete data, feature imbalance, and identifying spatiotemporally non-stationary risk factors.

Purpose of the Study:

• To propose an operational status assessment model for SF₆ high-voltage circuit breakers that integrates internal and environmental influences.
• To address data challenges like incompleteness and feature imbalance in fault record databases.
• To identify and accurately weigh spatiotemporally non-stationary factors influencing circuit breaker failures, especially under low-probability seasonal conditions.

Main Methods:

• Implemented missing value elimination (Drop method) and data normalization for the fault record database.
• Employed refined association rule mining techniques, adjusting thresholds and metrics based on seasonal distribution and time period importance.
• Developed a quantitative weighting method for branch-trunk rules and utilized the DFP-Growth algorithm for computational efficiency.

Main Results:

• The proposed Integrated Attribute-Weighted Risk Model Based on the Branch-Trunk Rule (IAR-BTR) effectively integrates internal and environmental factors.
• Identified spatiotemporally non-stationary factors strongly correlated with circuit breaker failures in specific seasonal conditions.
• Achieved high accuracy (95.78%) and precision (97.22%) in operational condition assessments, significantly improving predictive performance.

Conclusions:

• The IAR-BTR model provides a robust framework for assessing the operational status of SF₆ high-voltage circuit breakers.
• The method enhances the ability to predict failures by considering a comprehensive set of internal and environmental influences.
• This advancement is crucial for ensuring secure and stable grid operation and preventing major power system failures.