INTEGRATION OF WIND AND SOLAR DC MICROGRID USING MATLAB
Keywords:
Distributed energy resources, droop control, electric vehicle (EV), emission constraint, fast charging, microgrid, multilevel energy storage, optimal scheduling, power electronic conversion, solar power, wind powerAbstract
To support the integration of wind and solar power within microgrids operational controls are designed.
To support the quantification of the operational reserve for day-ahead and real-time scheduling an aggregated model
of renewable wind and solar power generation forecast is proposed. Then, a droop control for power electronic
converters connected to battery storage is developed and tested. Compared with the existing droop controls, it is
distinguished in that the droop curves are set as a function of the storage state-of-charge (SOC) and can become
asymmetric. The adaptation of the slopes ensures that the power output supports the terminal voltage while at the
same keeping the SOC within a target range of desired operational reserve. This is shown to maintain the equilibrium
of the microgrid’s real-time supply and demand. The controls are implemented for the special case of a dc microgrid
that is vertically integrated within a high-rise host building of an urban area. Previously untapped wind and solar
power are harvested on the roof and sides of a tower, there by supporting delivery to electric vehicles on the ground.
Without creating a large footprint the microgrid vertically integrates with the host building
