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

A principal component analysis and user identification technology, applied in the field of power system, can solve the problems of manual measurement, difficult to meet the needs of intelligent development in the distribution station area, and potential safety hazards, achieve simple algorithm, solve the problem of user attribution, reduce hardware and labor costs

Inactive Publication Date: 2019-05-10
SICHUAN ENERGY INTERNET RES INST TSINGHUA UNIV
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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, ma

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

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Embodiment Construction

[0053] The present invention will be further described below in conjunction with the accompanying drawings.

[0054] Users in the distribution station area operate in a radial topology. Due to the different load conditions and operating states of the system at different times, the voltage at the users will fluctuate to a certain extent. Such as figure 1 The topological relationship between the typical station substation and the user meter, there is a definite electrical connection between the station transformer of the same phase and the user's ammeter, so the voltage on the user side will increase with the increase of the outlet voltage of the station substation, The two have a high degree of correlation, and the trend of change is highly consistent. That is to say, users in the same station area and the same phase have a strong similarity in voltage fluctuation rules, while users in different station areas have long electrical distances and poor similarity in voltage fluctuat...

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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 ...

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Application Information

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IPC IPC(8): G06K9/62G06Q50/06
Inventor 唐明何仲潇汪晓华连利波
Owner SICHUAN ENERGY INTERNET RES INST TSINGHUA UNIV
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