Optimal Residential Community Demand Response Scheduling Based on User Preferences and MILP

Demand response manages energy demand to match available energy in the smart grid. Residential community loads in the smart grid are diverse and flexible. To integrate user preferences with demand response scheduling for residential communities, a centralized demand response scheduling algorithm is proposed. In this paper, user willingness price is first introduced through fuzzy c-means to quantify user preferences. Secondly, a complete residential community DR scheduling algorithm is established based on use preference and mixed integer linear programming to minimize the total energy cost of the residential community. Simulation results show that the proposed algorithm can reduce the total energy cost of the residential community and communication traffic.