Home Appliance Modelling and Control for Demand Response Applications

Demand response (DR) programs are developed to assist in reducing total power consumption, peak shifting and reduce peak period pressure on the utility infrastructure using various strategies. This paper presents common home appliances models that are suitable to control when participating in demand response (DR) programs. The empirical models developed for thermal loads and shiftable loads provide load profiles for a certain time period based on initial set points, tolerances ranges, and some physical properties of the medium. The proposed models are developed in Matlab simulation environment and various case studies are conducted for different input variations and set points. Test results show acceptable performance from the developed models for varying outer temperatures and the set point limits. The results also show that lower set points for cooling devices resulted in higher power consumption and that tolerance ranges affected the indoor temperatures of simulated home.