Method and system for transformer area and electric energy meter state evaluation based on anomaly analysis

Abstract

The invention relates to a method for transformer area and electric energy meter state evaluation based on anomaly analysis. The method is characterized in that the method comprises the following steps: (1) carrying out comprehensive analysis on an abnormal event and original data so as to obtain the abnormal condition of a transformer area; (2) performing cross correlation analysis on the acquired abnormal condition of the transformer area, outputting an abnormal reason and an abnormal level of an electric energy meter, and diagnosing the reason and the abnormal level causing the abnormalityof the electric energy meter; and (3) evaluating the states of the transformer area and the electric energy meter based on the reason of the abnormality of the electric energy meter and the abnormality level diagnosis result. The invention further relates to a system for transformer area and electric energy meter state evaluation based on anomaly analysis. The system comprises an anomaly transformer area analysis module, an anomaly association analysis module and a transformer area and electric energy meter state analysis module. Accurate evaluation of the transformer area and the electric energy meter state is realized, the work efficiency is improved, invalid work orders and on-site troubleshooting times are effectively reduced, and a lot of manpower and material resource costs are saved.

Description

technical field [0001] The invention relates to a state evaluation method and system for a station area and an electric energy meter, in particular to a state evaluation method and system for a station area and an electric energy meter based on anomaly analysis. Background technique [0002] According to statistics, as of the end of 2014, the electricity consumption information collection system covered by the national network has achieved full coverage of all power users and gateways, realized online monitoring of metering devices and real-time collection of important information such as user load, electricity, and voltage, which can be timely, Completely and accurately provide basic data for advanced analysis and auxiliary decision-making research of relevant systems, and provide a solid information foundation for realizing intelligent two-way interaction of electric energy meters. [0003] The current status of the large number of low-voltage station areas and the uneven ...

AI Technical Summary

Problems solved by technology

[0004] (1) Affected by both the energy supply side and the energy consumption side, there is a lack of scientific and comprehensive evaluation methods for the actual operation status of smart electric energy meters in the station area;

[0005] (2) The current online monitoring function for measurement abnormalities is not accurate enough for analysis, and a large number of work orders are still generated;

[0006] (3) The operation and maintenance dispatch of smart electric energy meters in the low-voltage station area mainly depends on manual labor, and there is a contradiction between operation and maintenance resources and operation and maintenance requirements

[0007] In addition, for the correlation analysis of abnormal events, the traditional correlation analysis method is adopted, and the resolution coefficient is not quantified, but a fixed value (0.5), which does not take into account the distortion of the correlation degree measurement caused by the abnormal value in the data

[0008] To sum up, the optimal solution has not yet been proposed for the problems of insufficient accuracy in evaluating the operating status of the station area and electric energy meters.

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