Enhancing the grid’s situational awareness and enabling quick adjustments in electricity generation are two of the most crucial goals of microgrids. In these systems, the energy management system (EMS) is responsible for gathering all the necessary data, figuring out an optimization issue, and relaying the results to each microgrid system’s components. A microgrid based on renewable energy systems is designed using a multi-objective optimization approach to the best of its ability. This study takes into account the stochastic characteristics of renewable energy sources in the study area, such as solar radiation, wind speed, and temperature. Genetic algorithm was used to resolve the optimization problem concerning the formulation of the objective function and the constraints. The LPSP and LCE are the optimized objective functions. The outcomes give a recommended configuration size for several of the input problem’s design variables; the optimum LCE solution calculated is 0.1775 $/kWh for an LPSP of 7%, allowing microgrids to occasionally switch to power from grid utilities.