Human Mobility Simulation in Smart Energy Grid

Smart grid is an emerging complex system of systems that continually provide distributed communication service to enable an efficient, optimal, reliable, secure energy transmission and distribution. Rapid growth in the number of Electric Vehicles (EVs) in use would have a significant impact on the capacity and efficiency of electric power network and thus post great challenges on the smart grid technology. The extent to which the scheduling can benefit the system depends greatly on the dynamic EV mobility pattern and levels of electricity usage of EVs. EV mobility simulation is useful in analyzing how charging scheduling works. In this paper, we focus on the need for human mobility model based simulation in smart grid to help validate the performance of charging scheduling of EVs in a distributed smart grid system. The mobility model simulates the driver’s driving actions in micro domain such as steer, speed up and brake etc. to synthesize smooth, reasonable and realistic vehicle trajectory. The simulated EVs mobility can be configured to produce real world dynamic mobility pattern of a large scale of individual EVs in a certain fine grain. The charge scheduling algorithms are introduced in the simulation to validate the feasibility of the EV mobility model.