Stochastic modeling of electric vehicle movable loads: Nodal impact from transportation

This paper proposes a technique to stochastically model Electric Vehicles (EVs) as movable loads connecting among buses in a power system. A transportation network is represented by using graph theory. A novel stochastic model is proposed to simulate the spatial and temporal random movements of EV charging loads. The expected number of parking or charging EVs at each bus can be obtained by using Monte Carlo simulation (MCS). The spatial and temporal distribution of expected nodal EV charging loads is investigated based on Roy Billinton Test System (RBTS). The simulation results demonstrate that the random movements of EV charging loads significantly affect the nodal EV charging load demand.