Abstract: [Objectives] With the continuous growth of demand-side response resources, the traditional energy scheduling model makes it difficult to meet the system demand for a large amount of renewable energy access. An energy trading strategy based on user demand-side response is proposed to optimize energy dispatch in smart communities to deploy multiple energy sources in a community successfully. [Methods] A two-stage dispatch optimization model is developed using the Stackelberg game based on the pricing interactions between the community operator and the consumer load aggregator for a residential community containing multiple buildings, in which distributed photovoltaic (PV), energy storage, and flexible loads are uniformly deployed. [Results] Through the simulation of examples, the model proposed in this paper can reduce the operation cost by 40.22%, improve the PV consumption level by 22.57% compared with the traditional heat-determined power strategy, and reduce the operation cost by 29.66%, improve the PV consumption level by 6.78% compared with the traditional optimal operation cost strategy. [Conclusion] The designed strategy effectively achieves fair benefit distribution, mitigates power fluctuation, flexibly responds to dispatch peak demand, strengthens new energy integration, and ensures power grid operation safety.

Key words: integrated energy system, demand response, Stackelberg game, energy trading, dispatch strategy, smart community, power interconnection