Day-ahead Multi-objective Stochastic Optimization Scheduling for Residential Communities Considering Demand Response

As residential electricity consumption continues to rise, flexible loads on the demand side present significant potential for dispatch in demand response (DR) programs. To achieve flexible load participation in DR scheduling for residential communities, this paper constructs equipment energy consumption model, user random behavior model, and comfort value model, and establishes a multi-objective day ahead stochastic optimization scheduling model for residential communities considering comfort, electricity cost, and peak shaving benefits. The simulation results show that the model can balance economic benefits by scheduling flexible loads while ensuring user comfort.