Stochastic Coordination of Plug-In Electric Vehicles and Wind Turbines in Microgrid: A Model Predictive Control Approach

To realize the synergy between plug-in electric vehicles (PEVs) and wind power, this paper presents a hierarchical stochastic control scheme for the coordination of PEV charging and wind power in a microgrid. This scheme consists of two layers. Based on the non-Gaussian wind power predictive distributions, an upper layer stochastic predictive controller coordinates the operation of PEV aggregator and wind turbine. The computed power references are sent to the lower layer PEV and wind controllers for execution. The PEV controller optimally allots the aggregated charging power to individual PEVs. The wind controller regulates the power output of wind turbine. In this way, a power balance between supply and demand in a microgrid is achieved. The main feature of this scheme is that it incorporates the non-Gaussian uncertainty and partially dispatchability of wind power, as well as the PEV uncertainty. Numerical results show the effectiveness of the proposed scheme.