Line transformation relation abnormity judgment method based on correlation between electric quantity and line loss

Abstract

The invention discloses a line transformation relation abnormity judgment method based on correlation between electric quantity and line loss. The line transformation relation abnormity judgment method includes a data acquisition module which is used for acquiring electric quantity information, a data processing module which is used for analyzing correlation between electric quantity and line loss, and a data display module which is used for displaying abnormal line transformation relations, wherein the data acquisition module, the data processing module and the data display module are sequentially connected. The line transformation relation abnormity judgment method utilizes power consumption, voltage, current and other data of a line and a transformer provided by a power consumption information acquisition system, and utilizes a big data analysis technology and a transformer area line loss non-linear correlation analysis method to construct the line transformation relation error correction model independent of the local communication relation and find out the line transformation relation with statistical errors, so as to improve the accuracy of topological information of the power transmission line and provide technical guidance for conducting line transformation relation on-site troubleshooting, so that the calculation precision of line loss is improved, and technical support is provided for lean marketing management.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a method for judging the abnormality of the line change relationship based on the correlation between electric quantity and line loss. Background technique [0002] During the actual operation of medium-voltage lines in the distribution network, there is a temporary switching behavior. After the switching, the line-to-line relationship has changed, but because the file data has not changed accordingly, it will affect the line loss. Therefore, it is necessary to analyze the power The correlation with the line loss, and then judge the abnormality of the line loss relationship. The existing technology judges the line loss abnormality based on a single condition, that is, an abnormal fluctuation in the collected data of the electric quantity is considered as an abnormal collected electric quantity, and the abnormality is not related to the value of the full load electric quan...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of inaccurate judgment of abnormal line loss, and proposes a method for judging abnormality of line-to-transformer relationship based on the correlation between electric quantity and line loss. , voltage, current and other data, using big data analysis technology and station area line loss nonlinear correlation analysis method to build a line-change rela

Images