Coordinate scheduling of electric vehicles in charging stations supported by microgrids

Abstract

When both the renewable energy sources (RES) generation and utilization occur simultaneously, energy storage costs can be reduced, and voltage oscillation and system instability caused by RES grid connection can be reduced. Therefore, this paper constructs a microgrid model that includes EVs, defines the charge and discharge capacity (CDC) of EVs, and uses the flexibility and dispatchability of EVs to overcome the intermittency and volatility of RES. By using the Monte Carlo method, this paper establish an EV driving model and proposes a two-stage process, that is, the first-stage is EV admission mechanism (EAM) and the second-stage is EV scheduling mechanism (ESM), to adapt to the uncertainty of RES, and maximize energy utilization and EV users satisfaction (Charging success rate). Through comparison with natural charging (NC) strategy, it is shown that the proposed two-stage process effectively overcomes the intermittency and volatility of RES and enables the stable operation of EVs in charging stations(CSs) supported by microgrids.