On Rural Power Grid Classification Method Based on Entropy Weight Method and Cluster Analysis

Abstract

Rural power grid is an important part of power grid construction. With the development of economic construction, users have higher and higher requirements for power supply reliability and power quality. In this paper, a q-type cluster analysis method based on entropy weight method and cluster analysis is proposed based on the statistical collation and analysis of sample data in a certain region of a province. Cluster analysis the villages belonging to each rural power grid in the province, find out the difference in the growth of power supply population and electricity sales among different villages. Finally, the villages in a certain region of a province are divided into three corresponding classification results: "growth type", "mature type" and "decline type", a more perfect model of site classification is established. It is of great significance for the government to set up investment strategy according to local conditions and promote the development of rural power grid.