Regression Monte Carlo for microgrid management

C. Alasseur, Alessandro Balata, Sahar Ben Aziza, Aditya Maheshwari, P. Tankov, X. Warin
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引用次数: 8

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 build on the mathematical model introduced in [14] and optimize the diesel consumption under a “no-blackout” constraint. 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.
回归蒙特卡罗微电网管理
我们研究了一个孤岛微电网系统,该系统旨在为一个小村庄提供由光伏板、风力涡轮机和柴油发电机产生的电力。电池存储系统设备用于将电力从高可再生能源生产时期转移到高需求时期。我们在b[14]中介绍的数学模型的基础上,在“无停电”约束下对柴油消耗进行了优化。我们介绍了一种利用回归蒙特卡罗算法的不同变体来解决微电网管理问题的方法,并使用数值模拟来推断关于电网优化设计的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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