This paper appears to be a comprehensive exploration of microgrid technology within a campus environment, equipped with islanding capabilities. The primary objective is to minimize the total operation and maintenance costs in the context of sustainable energy growth. It highlights the importance of microgrids in reducing fossil fuel consumption and strategy employs a two-stage risk-constrained, scenario-based stochastic optimization approach to handle various uncertainties related to energy management. The focus of the paper seems to be on hybrid solar energy microgrids, which combine solar electricity generation with other renewable sources. This combination is seen as an environmentally sustainable. The research employs a sophisticated two-stage risk-constrained, scenario-based stochastic optimization approach to effectively handle diverse uncertainties associated with energy management. Specifically, the focus is on hybrid solar energy microgrids, integrating solar electricity generation with other renewable sources to enhance environmental viability. The uncertainties addressed encompass power generation from rooftop solar panels, dynamics of plug-in electric vehicles, intermittent load demands, and unpredictable grid connections. These issues need to be addressed for effective microgrid operation by Utilizing sophisticated EMS to optimize the operation of the microgrid. These systems use real-time data and predictive algorithms to balance the supply and demand, manage energy storage, and make intelligent decisions about when to switch between different energy sources.