Gateway transformer error dynamic perception system
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 国网福建省电力有限公司营销服务中心
- Filing Date
- 2024-01-03
- Publication Date
- 2026-06-26
AI Technical Summary
Existing technologies cannot monitor the errors of current transformers at the gateway in real time, leading to disputes in electricity trading and high operation and maintenance costs. Furthermore, traditional detection methods are risky and labor-intensive, making it difficult to detect the causes of errors in a timely manner.
A dynamic sensing system for the error of a gate transformer was designed, including modules for data acquisition, processing, abnormal error correlation identification, and cause analysis. The system identifies the causes of abnormal errors through real-time data acquisition, feature extraction, and machine learning models. It trains the model by combining historical and simulation data, thereby reducing computational overhead and improving identification efficiency.
It enables real-time identification and cause analysis of errors in the current transformer at the gateway, reducing computational overhead, improving identification efficiency, and reducing operation and maintenance costs and the risk of electricity trade disputes.
Smart Images
Figure CN117826056B_ABST