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.

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