Electricity consumption information acquisition system fault discrimination method

Abstract

The invention discloses a electricity consumption information acquisition system fault discrimination method. The method comprises the following steps: S1, data acquisition: acquiring electric quantity information of a line; s2, data processing: carrying out classification processing and fault judgment on the collected information; s3, data archiving: generating an inspection report, and notifyinginspection personnel to inspect; wherein the data acquisition comprises transformer end electric quantity data acquisition and user end electricity consumption information acquisition, and the electricity consumption information comprises total electricity consumption, voltage value data and current value data. According to the method, line and transformer power consumption, voltage, current andother data provided by a power consumption information acquisition system are utilized, a line loss model is built by utilizing a big data analysis technology and a transformer area line loss nonlinear correlation analysis method, a line change relation with a statistical error is found out, and the accuracy of power transmission line topology information is improved; after the faulty line is determined, the electricity consumption condition of a user in the faulty line is inspected, the fault reason is found out, and guidance is provided for electric power economic operation.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a method for identifying faults in an electricity consumption information collection system. Background technique [0002] During the actual operation of the line in the distribution network, there is a temporary switching behavior. After the switching, the relationship between the line and the transformer has changed. However, because the file data has not changed accordingly, it will affect the line loss. Therefore, it is necessary to analyze the power and Correlation of line loss, and then judging the abnormal situation of line change relationship. The existing technology judges the line loss abnormality based on a single condition, that is, an abnormal fluctuation of the collected data of electric quantity is regarded as an abnormal collected electric quantity, and the abnormality is not related to the full load electric quantity. Comprehensive consideration of variou...

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Problems solved by technology

[0004] The purpose of the present invention is the problem of low efficiency of electric power economic operation caused by line faults, and proposes a fault discrimination method for the power consumption information collection system. Using big data analysis technology and the nonlinear correlation analysis method of line loss in the station area, build a line-change relationship error correction model that does not depend on the local communication relationship, find out the statistical error line-change relationship, and improve the accuracy of the transmission line topology information; After the faulty line is determined, inspect the power consumption of users in the faulty line to find out the cause of the fault and provide guidance for the economic operation of electric power

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