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arXiv · 1802.10352

Regression Monte Carlo for Microgrid Management

Clemence Alasseur·Alessandro Balata·Sahar Ben Aziza·Aditya Maheshwari·Peter Tankov·Xavier Warin
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Abstract

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.

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Clemence Alasseur, Alessandro Balata, Sahar Ben Aziza, Aditya Maheshwari, Peter Tankov, Xavier Warin. 2018-02-28. Regression Monte Carlo for Microgrid Management. https://arxiv.org/abs/1802.10352

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