Electricity Price Package Design Strategy Considering User's Independent Choice Behavior

With the gradual opening of the electricity-selling market, electricity-sellers need to formulate electricity price packages to meet the differentiated electricity needs of users and guide users to actively participate in grid peak shaving. In order to solve the user satisfaction problem of different electricity consumption habits and maximize the profit of electricity sales, this paper proposes a new type of electricity price package formulation strategy based on the characteristics of users' independent choice behavior and tending to be better. The K-means algorithm is used to cluster analysis of power user load characteristic curves, and various typical user load characteristic curves are generated to characterize the power consumption habits of different power users; a utility model is constructed to quantify the satisfaction of users' choices; The user selection probability model is used to maximize the utility to determine the probability of users with different electricity consumption habits choosing packages. The cost and risk model of the retail e-commerce company was formulated, and the self-selection behavior of users and the cost and risk of the e-commerce retailer were constrained, and the profit maximization of the e-commerce retailer was the optimization goal.