A research for the interactive behavior between Electric Vehicle and Residential Energy Management System based on probability distribution

With the human living environment getting rapid deterioration, Electric Vehicle(EV) is gaining more and more attention as a kind of potential new energy vehicle. Besides, Electric Vehicle plays a significant role in the smart home of the future, the strategies of its changing and discharging and intelligent access to the Residential Energy Management System are under pretty hot study. This paper, based on peak-valley electricity price, builds a residential energy management system which includes the renewable energy like solar energy and electric vehicle, makes the most optimal schedule for users through optimal algorithm. Specially, this paper studies the probability distribution of independent variables like daily trip miles, return time and the spending time in the charging behavior. Then, this paper adapts this result of probability distribution to whole energy management system. In addition, the influence brought by the charging behavior has been considered into the energy system, the system can reschedule for the appliances and Photovoltaic system output.