Analysis of Microgrid Performance, Reliability, and Resilience (AMPeRRe) Computational Model: Novel Analytical Model to Forecast the Outcomes of Installation Power Grids

Federal facilities, industrial areas, academic campuses, and communities are working to incorporate greater renewable energy sources and energy storage in their power infrastructure. While renewable sources of energy can?and do?support several facilities, uncertainty still exists about how reliably these sources of energy can support small and critical power systems with higher reliability standards, such as Army installations, tactical microgrids, remote community grids, and emergency response power systems. Maintaining reliability is already a significant challenge for power grids, and those that have a high proportion of renewable energy face particular challenges due to their intermittent power production. This technical report addresses the uncertainty by presenting a new computational model called Analysis of Microgrid Performance, Reliability, and Resilience (AMPeRRe). The model forecasts the power availability, fuel consumption, specific resilience factors, and excess energy production of proposed grids that include renewable energy sources and energy storage. If proposed grids are forecasted to lose power availability, users can apply this model to find which resources are needed to achieve 100% power availability and optimize resource quantities for ideal performance outcomes. AMPeRRe significantly reduces the uncertainty around renewable energy and energy storage in power grids and informs the critical resource investment decisions needed to yield improved long-term outcomes.