Abstract: Amidst the goals of "carbon peaking and carbon neutrality", the novel electric power systems are faced with great/ challenges pertaining to their regulatory capabilities. The flexibility resources on the users' side, serving as a significant supplement to power dispatching, are garnering increasing attentions both domestically and internationally. Formulating demand response strategies in accordance with the residential users' electricity usage characteristics and their behavioral differences can not only enhance the willingness of users to participate in the response, but also effectively promote the rational allocation of electricity resources. This paper introduces a price package designing method based on the dual game theory. The conflicting interests between the power selling company and the residential users are constructed as a master-slave game model. Then, according to the clustering results of the residential users, the evolutionary game models with the package choices and the response behaviors for different users are built in order to effectively solve the multi-agent decision optimization problem on the users' side. Last, through an example, the feasibility of the proposed method is demonstrated. This method, by designing electricity price packages, is able to guide the users to make flexible package choices and change their energy use behavior, thereby achieving the objectives of peak shaving, valley filling, and low carbon emissions.