一种分布式线路故障检测方法
By analyzing the historical fault locations and types of the lines, generating fault status values, constructing a set of early warning thresholds, and monitoring and comparing parameter changes in real time, the thresholds are dynamically updated. This solves the problem of limited adaptability and accuracy of fault detection in existing technologies, and achieves precise fault location and operation and maintenance decision support.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- YUNNAN YUNTA POWER ENG CO LTD
- Filing Date
- 2025-08-29
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for distributed line fault detection cannot dynamically optimize warning thresholds based on historical fault data, which limits the adaptability and accuracy of fault detection and makes it impossible to accurately locate the fault.
By identifying the location and type of historical faults on the line, analyzing the changes in node parameters before the fault, generating fault status values, constructing a set of fault early warning thresholds, monitoring and comparing parameter changes in real time, dynamically updating the thresholds, and locating the fault location by combining the confidence level value.
It enables dynamic optimization of early warning thresholds based on historical data, improving the adaptability and accuracy of fault detection, accurately locating faults, and providing a basis for operation and maintenance decisions.
Smart Images
Figure CN120999902B_ABST