A transformer area user identification method based on principal component analysis and k-means clustering

Abstract

The invention relates to the technical field of power systems, and discloses a transformer area user identification method based on principal component analysis and k-means clustering. The method comprises the steps of obtaining voltage data of a low-voltage side of a transformer and a user ammeter; performing principal component analysis on the voltage data to obtain a low-dimensional analysis object; determining the number k of the K-means clusters; calculating the data density of the to-be-clustered object, and determining an initial clustering centroid; Using k-means clustering algorithm for clustering objects to be clustered, and then the transformer area user relationship is identified. By the adoption of the scheme, identification reliability is improved, the problems that efficiency is low and potential safety hazards exist are solved, and hardware and labor cost is reduced; Multi-dimensional voltage is digitalized into few main components for analysis through a dimension reduction technology, so that the calculation amount of the algorithm is reduced, and the efficiency of the algorithm is improved; Regular k The means algorithm is improved, the transformer area and the phase of the user can be accurately and effectively identified, and the cross-transformer-area user attribution problem can be thoroughly solved.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a user identification method for station areas based on principal component analysis and k-means clustering. Background technique [0002] Accurate basic station area files are an important basis for a series of advanced applications such as line loss rate analysis, distribution network fault location, emergency repair work order issuance, and three-phase unbalance analysis. However, due to the late start of my country's power system and the imperfect initial development plan, the distribution of distribution transformers in my country at this stage is scattered and the distribution lines are intricate. At the same time, due to the loss of information records, untimely updates, and incomplete information of the power grid company during the years of operation, the archives of the station area are often inaccurate, that is, a small number of end users have a real connection ...

AI Technical Summary

Problems solved by technology

Although the user identification in distribution station area based on the hybrid method of power carrier and pulse carrier wave solves the problems of common high-voltage cross-connection, common ground cross-connection and common cable trench cross-connection, manual measurement is still required, and current clamp is used for user identification in distribution station area. There may be potential safety hazards in the process, and it is difficult to meet the intelligent development needs of the distribution station area

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