Phase identification method for low-voltage district consumers based on voltage curve clustering analysis

Abstract

The invention discloses a phase identification method for low-voltage district consumers based on voltage curve clustering analysis. The phase identification method comprises the following steps: first, extracting data of a district transformer with relatively-serious three-phase imbalance and voltage sequences of smart electric meters of the consumers using the district transformer from an electric information acquiring system; second, calculating the discrete Frechet distance between voltage curves of different consumers, calculating a local outlier factor of each consumer based on the discrete Frechet distance and further judging whether the connection relation of the district transformer of the consumers is correct or not; third, clustering the district consumers into three different consumer groups for a consumer set with the correct connection relation of the district transformer according to a K-medoids algorithm based on the discrete Frechet distance between the voltage curvesof different consumers, and further realizing accurate identification of the low-voltage district consumers. The method has the advantages that phase identification of the low-voltage district consumers can be carried out online without artificial field survey, and the problems of low accurate rate, low working efficiency and high cost of the phase identification of the low-voltage district consumers are effectively solved.

Description

technical field [0001] The invention relates to the technical field of power transmission and distribution, in particular to the identification of the topology structure of the low-voltage distribution network, and in particular to a phase identification method for users in the low-voltage station area based on the cluster analysis of the voltage curve of the smart meter. technical background [0002] my country's low-voltage distribution network adopts a three-phase four-wire wiring system. Since the user side is almost all single-phase loads, and the power consumption is highly random, low-voltage distribution transformers are prone to three-phase imbalances. Three-phase imbalances not only cause reduced transformer capacity (compared to peak load), shortened asset life, increased line losses, but also power quality issues. In order to solve the above-mentioned problems, it is necessary to move some electricity consumers of a phase with a heavy load to another phase with a...

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Problems solved by technology

[0006] In order to solve the above-mentioned technical problems existing in the prior art, the present invention proposes a phase identification method for low-voltage station users based on voltage curve cluster analysis, which can carry out phase identification of low-voltage users online, and effectively solves the problem of accurate phase identification of low-voltage station areas. Low efficiency, low work efficiency and high cost

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