This document summarizes a study on integrating wind and solar power generation into microgrids using battery energy storage and power electronic converters. The study proposes an aggregated model for forecasting renewable generation and develops an adaptive droop control method for battery inverters. The droop control curves are made asymmetric and adjusted based on the battery state of charge to maintain supply-demand balance while ensuring the battery state of charge stays within a desired range. The controls are demonstrated in a case study of a DC microgrid integrated within a high-rise building that harvests wind and solar power on the roof to provide power for electric vehicles.