Analysis of User Load Characteristics of Automatic Demand Response in Industrial Parks Based on Fuzzy C-means Clustering Algorithm

Abstract

Under the background of the energy revolution of building a global energy Internet and promoting clean and green ways to meet power demand, the research on the planning and construction of smart grids and smart parks and related key technologies is becoming more and more important. This paper first introduces the automatic demand response technology of the park and the algorithm and implementation process of the load clustering technology as the basis. Secondly, the fuzzy c-means aggregation is applied to the 96-day daily load data of the 20 stations in the substation of a certain eco-city. The class algorithm performs cluster analysis, and the different load types in 5 are obtained. The demand response time interval of different load types is summarized, which provides a reference for the characteristic analysis, prediction and classification management of demand-side controllable load.