Nonlinear Economic Model Predictive Control for Microgrid Dispatch

This paper addresses dispatch of a microgrid system using nonlinear economic model predictive control. Constraints in the model predictive control formulation are used to ensure that microgrid units stay within their desired operational range (i.e. power output, storage level, and temperature) and that the net energy exchange with the macrogrid over each hour stays within some scheduled bounds. A dynamic, continuous-time microgrid model is developed and used to test this dispatch strategy over a 24-hour period. The proposed dispatch strategy is able to satisfy the bounds on energy exchange and desired temperature.