Managing Vehicle-To-Grid Mobile Energy Network as Demand Response in Power Systems

Abstract

Due to rapid electrification in the transportation sector, electric vehicles (EVs) are going to play indispensable role in the modern power systems. Managing EVs with vehicle-to-grid (V2G) scheme can help in softening electricity demand and making grid more reliable and economic. In this paper, plugged in EVs are managed to facilitate demand response (DR). The modeling of V2G network is performed based on the dynamical complex network methodology in which EVs are moving among different districts. It is clearly seen from the simulations that incoming EVs affect the DR stability as it carries new energy and storage facility into a district. The robustness of the technique is studied by varying the parameters such as rate of convergence and willingness to pay. Moreover, to further reduce the electricity price for the prosumers, peak clipping objective is introduced in the DR program. The main intension of the peak clipping objective is to control the charging/discharging of EVs during peak hours based on the available state-of-charge (SOC) of the fleets. Proposed DR program effectively reduces the electricity price during peak load hours and help EV owners maximize their profits.