Automatic calibration method and system for topological structure of low-voltage power distribution network transformer area

Abstract

The invention relates to the technical field of low-voltage power distribution network automation, and discloses an automatic verification method and system for the topological structure of a low-voltage power distribution network transformer area, so as to realize topological structure automatic identification by using data received by a low-voltage power distribution network intelligent monitoring terminal, save labor cost and improve working efficiency. The method comprises the following steps: obtaining a transformer voltage time sequence of a to-be-analyzed transformer area and voltage time sequences of all users in the to-be-analyzed transformer area in the same time period; calculating a T-shaped gray correlation degree between each user and the to-be-analyzed transformer area according to the voltage time sequence of each user and the transformer voltage time sequence of the to-be-analyzed transformer area, and searching and listing a user which may have errors as a suspicioususer according to the correlation degree and a set correlation degree threshold; acquiring all ammeters of the to-be-analyzed transformer area and an adjacent transformer area as samples, and calculating a T-shaped grey correlation degree between the suspicious user and the samples; and judging the transformer area to which the suspicious user belongs according to the T-shaped grey correlation degree.

Description

technical field [0001] The invention relates to the technical field of low-voltage distribution network automation, in particular to a method and system for automatically verifying the topological structure of a low-voltage distribution network platform area. Background technique [0002] In the low-voltage distribution network, there are a large number of transformers and users in the station area, and there is a topological connection relationship between them. With the deepening of the construction of the ubiquitous power Internet of Things, more intelligent monitoring terminals and sensing devices will be installed in the low-voltage distribution network, which provides conditions for the automatic identification of the topology of the low-voltage distribution network. In the distribution network, there is a phenomenon that the fluctuation of the load voltage curve is similar to that of the load with a short electrical distance. Therefore, a large amount of data such as...

AI Technical Summary

Problems solved by technology

At present, the following methods are mainly used for the analysis and identification of the topology structure of the low-voltage distribution network station area: 1) The topology verification method based on outlier detection is used to identify discrete smart meters; however, this method needs to determine the Pearson correlation The coefficient threshold, and the distance threshold and score threshold in the calculation of outliers are also difficult to grasp

2) The gray relational analysis method identifies the similarity of the voltage curve; however, this method is greatly affected by the resolution coefficient and the extreme value difference of the voltage

3) Combined with the Pearson correlation coefficient of the voltage series and the relationship between the voltage value, the topological structure connection recorded by the geographic information system is verified; however, this method has difficulty in setting the threshold

4) Use the correlation coefficient to determine the correlation between the voltage between the meters or between the meters and the station area, and use the power value of each phase of the station area to correct the voltage of the station area when the correlation is not large, and then judge the phase to which the user belongs; however, This method is too computationally expensive

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