In order to fully exploit and utilize the interactive response capability of demand-side resources, optimize the resource allocation of the park and enhance the overall efficiency of the park, this paper proposes a response quantity quota transfer mechanism based on the cooperative and autonomous behaviors of users, and constructs a response quantity accounting model under the framework of master-slave game. In this model, the aggregator as a leader is responsible for setting dynamic quota transfer tariffs and guiding the users to collaborate, and the users as followers adjust their own electricity consumption and response quantity strategies according to the tariff signals released by the aggregator. Through the design and solution of the master-slave game model, this paper explores the optimal allocation strategy that can promote the sharing of response quantity among users, and the model is solved by an iterative algorithm to ensure that the decision-making interaction between the aggregator and users reaches the Stackelberg equilibrium point. The results show that the dual goals of economy and environmental protection of the park energy system can be realized while protecting the interests of users through a reasonable incentive mechanism for the transfer of response quantity quotas and a collaborative autonomy model.