Multi-dimensional state detection and fault diagnosis method, device and equipment of medium-voltage flexible interconnection system, storage medium and program product
By constructing a multi-dimensional condition detection and fault diagnosis method in a medium-voltage flexible interconnection system, and using sensors to acquire multi-dimensional data and perform feature fusion and cluster analysis, the problem of blind spots in fault identification in the medium-voltage flexible interconnection system is solved, early warning and precise location are realized, and the accuracy of fault diagnosis and operation and maintenance efficiency are improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
- Filing Date
- 2026-04-15
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to capture early degradation characteristics within medium-voltage flexible interconnected systems, resulting in blind spots in fault identification and low accuracy in fault diagnosis. Often, responses are only reactive after a fault has escalated to a severe state, leading to equipment damage and system downtime.
By deploying multiple sensors in the medium-voltage flexible interconnection system, multi-dimensional status data is acquired, and a three-level detection system at the power module level, bridge arm level, and system level is constructed to achieve comprehensive perception of the internal status of the modules. Clustering algorithms and feature fusion technology are used to identify abnormal modules and faults, providing early warning and precise location.
It enables real-time capture of early signs of degradation in medium-voltage flexible interconnection systems, reduces blind spots in detection, improves the accuracy of fault diagnosis and operational efficiency, and can accurately locate faulty modules to avoid equipment damage and system downtime.
Smart Images
Figure CN122410201A_ABST