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.

CN122361998APending Publication Date: 2026-07-10STATE GRID ZHEJIANG ELECTRIC POWER CO LTD JINHUA POWER SUPPLY CO

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

Technical Problem

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.

Method used

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.

Benefits of technology

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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Abstract

This invention discloses a method for identifying anomalies in the neutral wire of a transformer substation based on meter readings, comprising the following steps: S1: data acquisition; S2: phase completion; S3: data preprocessing; S4: suspected anomaly identification; S5: inventory list optimization; S6: correlation verification; S7: risk quantification and location; and S8: handling measures, including incorporating the anomaly location results and inventory list Lky into key inspections, and initiating emergency repairs for anomalies with significantly increased risk. This invention addresses the problems of passive maintenance, difficult location, and low efficiency in existing technologies.
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