A method for identifying abnormal zero line of a transformer area based on metering data
By collecting and analyzing data from the transformer substation, and combining phase completion and risk quantification, the system enables proactive identification and location of neutral line anomalies in the substation. This solves the problems of difficult location and low efficiency caused by passive maintenance in existing technologies, and improves maintenance efficiency and accuracy.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- STATE GRID ZHEJIANG ELECTRIC POWER CO LTD JINHUA POWER SUPPLY CO
- Filing Date
- 2026-04-08
- Publication Date
- 2026-07-10
AI Technical Summary
In existing technologies, the detection of abnormal neutral wires in transformer substations mainly relies on user reports, which is a passive repair mode after a fault occurs. This leads to difficulties in locating the fault, low efficiency, and may cause damage to users' electrical appliances and economic losses.
By collecting data from the main distribution area meters, voltage/current data from user meter intervals, and low-voltage line topology data, and combining phase completion, data preprocessing, suspected anomaly identification, correlation verification, and risk quantification, the hierarchical analysis method is used to actively identify and locate neutral line anomalies, including the criteria for determining high neutral line resistance and open circuits, and the location of anomaly points.
It enables proactive identification of neutral wire anomalies, allowing problems to be detected in the early stages of a fault or within a preset timeframe, thus preventing damage to users' electrical appliances and economic losses, significantly improving maintenance efficiency, and enhancing the accuracy of anomaly identification.
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Figure CN122361998A_ABST