Hybrid Microgrid Load Flow Management using Model Predictive Control
Keywords:microgrid, model predictive control, pv system, wind generator, electric vehicle
The intermittence of the renewable energy resources coupled with the declining fossil fuel reserves have led to the development of hybrid AC/DC microgrids that not only elevate the benefits of each subsystem, but also curtails the deficiencies of the subsystems. Hence there is a pressing need to explore hybrid microgrid with the help of advanced controllers and techniques to increase the reliability and efficiency of the system. In this paper, we have employed Model Predictive Control (MPC) to control the output of the generators and meet the requirements of the grid with residential, industrial and highly integrated electric vehicle load. The hybrid microgrid system, taken under study, comprises PV system, Wind generator and diesel generator. The capability of the MPC will be observed for a 12-hour duration, with events of the charging/discharging of the electric vehicles and variations in the generated power due to uncertainty in the levels of irradiance and wind speed.