Topology identification rate judgment method based on line loss

Abstract

The invention relates to a topology identification rate judgment method based on line loss, and belongs to the technical field of intelligent power grids. The method comprises the following steps of:obtaining an automatic topology identification result of a distribution transformer area, and dividing the topology result according to the hierarchy of a distribution transformer, an outgoing line cabinet, a branch box and a meter box; acquiring the electric quantity data of the low-voltage side of the distribution transformer, the outgoing line of the outgoing line cabinet and the incoming lineof the meter box; calculating the line loss rate from the low-voltage side of the distribution transformer to the meter box, calculating the line loss rate from the outgoing line of the outgoing linecabinet to the meter box, judging whether the current line loss is within a preset range, judging whether all branch lines are judged completely if the current line loss is within the preset range, and calculating the accuracy of topology identification if the judgment is completed; and if the line loss rate exceeds the preset range, judging the line loss rate as an abnormal condition, performingclassification judgment on the line loss rate abnormal condition, and recording a topology condition. The method is directly used for judging whether the topology of the low-voltage transformer area is accurate, and provides important basis and scientific support for judging whether the automatic topology identification of the low-voltage transformer area is accurate.

Description

technical field [0001] The invention relates to a method for judging topology recognition rate based on line loss, which belongs to the technical field of smart grid. Background technique [0002] At present, the level of information automation and management of high-voltage power grids in my country is relatively high. Compared with low-voltage power distribution networks, there are many types of electrical equipment, complex power consumption behaviors of users, and low levels of information automation. It is manifested as chaotic file management of power distribution equipment, mainly reflected in: (1) The relationship between distribution transformers and meter boxes is wrong, and the meter boxes are divided into areas that do not belong to them, resulting in file errors; (2) The relationship between household line transformers is not clear , it is impossible to know which branch the table box belongs to. Automatic topology recognition can automatically identify the dis...

AI Technical Summary

Problems solved by technology

[0002] At present, the information automation level and management level of my country's high-voltage power grid are relatively high. Compared with low-voltage power distribution network, there are many types of electrical equipment, complex power consumption behavior of users, and low level of information automation.

It manifests as chaotic file management of power distribution equipment, mainly reflected in: (1) The distribution transformer-meter box relationship is wrong, and the meter box is divided into areas that do not belong to it, resulting in file errors; (2) The relationship between household line transformers is not clear , it is impossible to tell which branch the table box belongs to

Automatic topology recognition can automatically identify the distribution transformer-meter box and the sub-branch relationship of the meter box, but there is no method to verify whether the automatic topology recognition is accurate

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