Research on the analysis of user's electricity behavior and the application of demand response based on global energy interconnection

With the development of intelligent power and electricity market and the change of load characteristic, to construct global energy interconnection and improve the effect of demand response project, this paper mainly discussed the cluster analysis of electrical behavior of users and the selection of target users of demand response project in smart grid. Firstly this paper set up multi-genre classification system of power consumption equipment and constructed load decomposition model based on fuzzy membership function on the basis of the load monitoring to obtain the information of users. Then this paper chose highest price sensitivity and lowest demand response cost as the optimization object to construct user selection model. Practical example shows this article can guide the implementation of demand response project.