  High penetration of solar power introduces new challenges in the operation of
distribution systems. Considering the highly volatile nature of solar power
output due to changes in cloud coverage, maintaining the power balance and
operating within ramp rate limits can be an issue. Great benefits can be
brought to the grid by smoothing solar power output at individual sites
equipped with flexible resources such as electrical vehicles and battery
storage systems. This paper proposes several approaches to a solar smoothing
application by utilizing battery storage and EV charging control in a
"Nanogrid" testbed located at a utility in Florida. The control algorithms
focus on both real-time application and predictive control depending on
forecasts. The solar smoothing models are then compared using real data from
the Nanogrid site to present the effectiveness of the proposed models and
compare their results. Furthermore, the control methods are applied to the
Orlando Utilities Commission (OUC) Nanogrid to confirm the simulation results.
