Optimal design of home energy management strategy based on refined load model

Highlights: • Propose a refined control model of HVAC and electric water heater for the adjustable range. • Introduce a quantifiable emergency coefficient of EV of charging demand. • Establish an optimization model of HEMS based on refined load models. • Propose an intelligent HEMS to meet different kinds of families. Based on the physical model of load and the control model of expressing user's subjective use intention, refined modeling methods are proposed for three typical high-power controllable loads on residential side, namely, heating-ventilation and air conditioning (HVAC) system, electric water heater and charging load of electric vehicle (EV) and the refined models are carried out. First of all, a custom family example is constructed, including the user's electricity habits, structural characteristics of the house and the load, and the simulation is carried out. The refined definition of technical parameters and the influence of typical and atypical electricity consumption process on load electricity consumption effect are analyzed in detail. Then, an optimization model of energy management strategy aiming at optimizing electricity consumption cost is established based on traditional saving families and modern comfortable families. Simulation results show that the user personalized electricity consumption habits and environment have a significant impact on the control strategy of home energy management system (HEMS).