Low-voltage distribution network phase-household relation identification method based on matrix completion

Abstract

The invention discloses a low-voltage distribution network phase-household relation identification method based on matrix completion. The method comprises the following steps of collecting the current time sequence data of a low-voltage bus and all ammeters in multiple time periods in a target station area to form an original current matrix; decomposing, optimizing and combining the original current matrix with the data missing condition by adopting a singular value threshold decomposition method to form a current completion matrix; calculating a relative error of the complemented matrix relative to the original current matrix by solving the ratio of the norm of the difference between the current complementing matrix and the original current matrix to the norm of the original current matrix; and adopting a mathematical optimization method to identify the corresponding phase-household relationship in the transformer area. According to the method, the engineering condition that the acquired data of the low-voltage transformer area is not complete is effectively complemented by means of a data analysis technology, the phase-household identification accuracy is improved, and the intelligent and efficient operation and maintenance of the low-voltage transformer area are facilitated.

Description

technical field [0001] The invention relates to the technical field of electric low-voltage distribution network, in particular to a matrix-completion-based phase-household relationship identification method for low-voltage distribution network. Background technique [0002] One of the current household identification relationship methods is the household identification algorithm based on the KCL law. This algorithm uses current data to calculate the household relationship in the station area. Therefore, the accuracy of the current data is very important. Considering the impact of the meter’s own lack of support, communication packet loss, communication failure, etc., the current data often suffers from missing data. Therefore, how to complete the current matrix with data missing, so as to generate a more accurate phase Relationships are issues that need to be addressed. In "Phase Identification in Smart Grids" (2011IEEE InternationalConference on Smart Grid Communications....

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Problems solved by technology

Considering the impact of the lack of function of the meter itself, communication packet loss, communication failure, etc., the current data often has data missing problems. Therefore, how to complete the current matrix with data missing, so as to generate more accurate phase data Relationships are a problem that needs to be solved

In "Phase Identification in Smart Grids" (2011IEEE InternationalConference on Smart Grid Communications.Brussels, Belgium: IEEE, 2011: 25-30.), VijayArya et al. used a mathematical optimization method for phase identification, but this method did not consider the current matrix Possible missing data, low applicability

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