Method for clustering low-voltage distribution network transformer districts based on fuzzy clustering

Abstract

The invention discloses a method for clustering low-voltage distribution network transformer districts based on fuzzy clustering. The method comprises the steps that characteristic indexes of the low-voltage distribution network transformer districts are established; characteristic index data to be analyzed are input, and then an original data matrix is established; standard processing is conducted on the original data matrix, so that a fuzzy matrix is obtained, and a fuzzy similar matrix of the fuzzy matrix is established according to the Euclidean distance algorithm; a fuzzy equivalent matrix is established, the fuzzy equivalent matrix is converted into a Lambda-cut matrix equivalent to the fuzzy equivalent matrix, a dynamic clustering diagram is formed, clustering analysis of the low-voltage distribution network transformer districts to be analyzed is achieved, and after the number of categories is determined, a clustering result of the low-voltage distribution network transformer districts is output according to analysis demand; according to the clustering result of the low-voltage distribution network transformer districts, data characteristics of the transformer districts of each category are analyzed, whether the transformer districts of each category are in urgent need for treatment is judged, the transformer districts in urgent need for treatment are screened out, and a follow-up treatment scheme is provided preliminarily. The method for clustering the low-voltage distribution network transformer districts based on fuzzy clustering has the advantages that the recognition speed is high, the classification accuracy is high, and classification effectiveness is high.

Description

technical field [0001] The invention relates to a low-voltage distribution network station area clustering method, in particular to a low-voltage distribution network station area clustering method based on fuzzy clustering, and belongs to the technical field of electric power systems. Background technique [0002] As the end link of the low-voltage distribution network that directly faces users in the power system, its network loss and voltage quality are directly related to the economic benefits of power supply companies and users. Reducing network losses and improving voltage quality are important tasks for power supply companies. my country's low-voltage distribution network is large in scale and complex in structure. For local power supply enterprises, there are a large number of stations in the area under their jurisdiction, and some stations are prone to problems such as large network loss and unqualified voltage quality. governance. At present, due to the limitation...

AI Technical Summary

Problems solved by technology

The limitations of this method are as follows: 1) The screening decision-making process is extremely dependent on the operator's subjectivity and lacks systematic indicators; 2) When the number of stations is large, the screening and analysis process is cumbersome, inefficient and It is very easy to cause errors and omissions, the screening results may not meet the actual situation, and the actual treatment effect is not ideal; 3) It is difficult to comprehensively analyze and evaluate the overall situation of the low-voltage distribution network station area in the region

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