An Analytical Method for Intelligent Electricity Use Pattern With Demand Response
Intelligent electricity is one important part of the smart grid, and it lead to the new electricity utilization patterns of families, as the interaction mode between smart grid and users. This paper proposes an analytical method of users electricity utilization behaviors for the future intelligent electricity utilization environment. First of all, based on the intelligent electricity scene, users specific intelligent electricity behavior is analyzed. Then, according to the characteristics of intelligent power consumption behaviors, the load model is built based on intelligent electricity. The paper proposes an analytical method for users power behavior. The feature selection method based on information measure is used to select corresponding characteristics from the common feature space and compose the feature set. The fuzzy C-means clustering algorithm, the initial clustering center of which is improved, is used for different users intelligent electricity behaviors clustering. The experiment proves that the analytical method proposed in this paper, which is about users electricity utilization behavior, can effectively identify users with different intelligent behaviors.
Clustering analysis Electricity behaviors Intelligent electricity Load model
PENG Wenhao DENG Zhe ZHU Yanping LU Jun
School of Electric and Electronic Engineering,North China Electric Power University,Beijing,China
国际会议
西安
英文
1-4
2016-09-01（万方平台首次上网日期，不代表论文的发表时间）