Clustering method of low-voltage distribution network based on fuzzy clustering

Abstract

The invention discloses a fuzzy clustering-based low-voltage distribution network station area clustering method, which includes establishing characteristic indicators of the low-voltage distribution network station area; inputting characteristic index data to be analyzed to construct an original data matrix; and standardizing the original data matrix , to obtain the fuzzy matrix, according to the Euclidean distance method, construct the fuzzy similarity matrix of the fuzzy matrix; establish the fuzzy equivalent matrix, convert the fuzzy equivalent matrix into its equivalent λ-cut matrix, form a dynamic clustering diagram, and realize the low pressure to be analyzed The clustering analysis of the distribution network area, according to the analysis requirements, outputs the clustering results of the low-voltage distribution network area after determining the classification number; according to the clustering results of the low-voltage distribution network area, the data characteristics of each category of the area are analyzed. Analyze and judge whether various types of Taiwan areas urgently need governance, screen out those areas that urgently need governance, and give a preliminary follow-up governance plan. The method of the invention has the advantages of fast recognition speed, high classification accuracy, high classification efficiency and the like.

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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