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Community microgrids offer many advantages for power distribution systems.When there is an extreme event happening, distribution systems can beseamlessly partitioned into several community microgrids for uninterruptedsupply to the end-users. In order to guarantee the system reliability,distributed energy resources (DERs) should be sized for ensuring generationadequacy to cover unexpected events. This paper presents a comprehensivemethodology for DERs selection in community microgrids, and an economicapproach to meet the system reliability requirements. Algorithms of discretetime Fourier transform (DTFT) and particle swarm optimization (PSO) areemployed to find the optimal solution. Uncertainties of load demand andrenewable generation are taken into consideration. As part of the case study, asensitivity analysis is carried out to show the renewable generation impact onDERs' capacity planning.

Economic Sizing of Distributed Energy Resources for Reliable Community Microgrids