Joint Optimization of Electric Vehicle and Home Energy Scheduling Considering User Comfort Preference

Abstract—In this paper, we investigate the joint optimization of electric vehicle (EV) and home energy scheduling. Our objective is to minimize the total electricity cost while considering user com-fort preference. We take both household occupancy and EV travel patterns into account. The novel contributions of this paper lie in the exploitation of EVs as dynamic storage facility as well as de-tailed modeling of user comfort preference, thermal dynamics, EV travel, and customer occupancy patterns in a concrete optimiza-tion framework. Extensive numerical results are presented to illus-trate the efficacy of the proposed design. Specifically, we show that the proposed design can achieve significant saving in electricity cost, allow more flexibility in setting the tradeoff between cost and user comfort, and enable to reduce energy demand during peak hours. We also demonstrate the benefits of applying the proposed framework to a residential community compared to optimization of individual household separately. Index Terms—Electric vehicle, HVAC system, energy manage-ment system, aggregator, day-ahead electricity price, occupancy pattern, travel pattern, cost minimization, user comfort. NOMENCLATURE Duration of time slot (hours). Maximum acceptable temperature deviation when house is occupied ( C). Coefficient of performance (COP) of heater/AC in house. Charging efficiency of EV. Discharging efficiency of EV. Travel time of EV during trip. Solar irradiance in time slot (kW/m). Dummy variable, “ ” for AC cooling, “1 ” for heating. The effective window area of house