Supervisory optimal control with information flow for wind and solar resilient integration onto an electric power grid

The following paper presents an optimal control algorithm for the study and operation of an electric power grid (EPG) in the presence of a combination of rotating generators and renewable energy resources such as wind farms and solar arrays. The algorithm consists of a reduced order model (ROM) that describes the microgrid, a discretization of the equations that result from the ROM, and an optimization formulation that controls the microgrid's behavior. Once formulated, the algorithm is applied to a series of scenarios that study the affect of an increasing number of renewable energy resources on the grid and how a combination of energy storage and rotating generators stabilize the microgrid's behavior.