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 introduce a methodology to solve microgrid management problem using different variants of Regression Monte Carlo algorithms and use numerical simulations to infer results about the optimal design of the grid.
@article{arxiv.1802.10352,
title = {Regression Monte Carlo for Microgrid Management},
author = {Clemence Alasseur and Alessandro Balata and Sahar Ben Aziza and Aditya Maheshwari and Peter Tankov and Xavier Warin},
journal= {arXiv preprint arXiv:1802.10352},
year = {2018}
}