REGRESSION MONTE CARLO FOR MICROGRID MANAGEMENT - C. ALASSEUR, A. BALATA, S. BEN AZIZA, A. MAHESHWARI, P. TANKOV AND X. WARIN

We study an islanded microgrid system designed to supply a small village with the power produced by photovoltaic panels, wind turbines and a diesel generator. A battery storage system device is used to shift power from times of high renewable production to times of high demand. We build on the mathematical model introduced in [14] and optimize the diesel con-sumption under a “no-blackout” constraint. We introduce a methodology to solve microgrid man-agement problem using different variants of Regression Monte Carlo algorithms and use numerical simulations to infer results about the optimal design of the grid.