Optimal microgrid operation based on model predictive control framework

This paper investigates the appliance of model predictive control framework for efficiently operating of a microgrid, which comprises distributed energy resources, energy storage systems, local smart loads such as HVAC and PHEVs, and some other uncontrollable loads. It can be operated in grid-connected mode and isolated mode autogenously. Model predictive control framework allows to take into consideration demand response, uncertainty power production of renewable energy resources, load demand and the varying of real-time electricity price, as well as to satisfy special constraints. The microgrid is considered as mixed logical dynamic system, the operation optimization of the microrgid is formulated with a mixed integer quadratic programming problem. Case studies are implemented and discussed to assess the performance of the proposed approach and the impacts of energy storage units, simulation results validate the efficiency of the proposed method.