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Abstract The optimization of microgrids present challenges such as managing distributed energy resources (DERs) and the high reliance on intermittent generation such as PV and wind turbines, which present an aleatory behavior. The most popular techniques to deal with the uncertainties are stochastic optimization, which comes with a high computational burden, and adaptive robust optimization (ARO), which is often criticized for the conservativeness of its solutions. In response to these drawbacks, this work proposes a mixed-integer linear programming (MILP) model using a data-driven robust optimization approach (DDRO) solved by a two-stage decomposition using the column-and-constraint generation algorithm (C&CG). The DDRO model uses historic data to create the bounds of its uncertainty set, eliminating the conservativeness created by the arbitrary definition of the uncertainty set that is seen in ARO while maintaining a low computational burden. The DDRO model applied was not previously utilized in MGs, only in bulk power systems. A benchmark MG system was simulated for a 24-hour period without uncertainties, with uncertainties using ARO (15% uncertainty budget) and with uncertainties and DDRO. The operational costs without uncertainty were $124,600,60, while the ARO approach rose those costs by 32.5% ($ 165,137.18). Finally, the DDRO approach managed to keep the costs in $ 126,934.54, a mere 1.8% increase from the base case without uncertainty. All simulations were performed in less than 1 minute. The results confirm a) the advantages of bounding the uncertainty set with historical data instead of an arbitrary definition of bounds and b) the fast-converging times of DDRO. DERs (DERs turbines behavior burden ARO, , (ARO) solutions drawbacks mixedinteger mixed integer MILP (MILP datadriven driven (DDRO twostage two stage columnandconstraint column constraint C&CG. CCG C&CG . C CG (C&CG) MGs systems 24hour hour 24 15% 15 (15 budget 12460060 124 600 60 $124,600,60 325 32 5 32.5 ( 165,137.18. 16513718 165,137.18 165 137 18 165,137.18) Finally 12693454 126 934 54 126,934.54 8 1.8 minute b fastconverging fast converging (ARO (C&CG 2 (1 1246006 12 6 $124,600,6 3 32. 1651371 165,137.1 16 13 1269345 93 126,934.5 1. 124600 $124,600, 165137 165,137. 126934 9 126,934. 12460 $124,600 16513 165,137 12693 126,934 1246 $124,60 1651 165,13 1269 126,93 $124,6 165,1 126,9 $124, 165, 126, $124 $12 $1