Regression Monte Carlo for microgrid management

Regression Monte Carlo for microgrid management

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 mathe...

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Main Authors: Alasseur Clemence, Balata Alessandro, Ben Aziza Sahar, Maheshwari Aditya, Tankov Peter, Warin Xavier
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:ESAIM: Proceedings and Surveys
Online Access:https://www.esaim-proc.org/articles/proc/pdf/2019/01/proc196503.pdf
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spelling doaj-386f2df45b4b411eb24c821bb1d64cc32021-07-15T14:18:13ZengEDP SciencesESAIM: Proceedings and Surveys2267-30592019-01-0165466710.1051/proc/201965046proc196503Regression Monte Carlo for microgrid managementAlasseur ClemenceBalata AlessandroBen Aziza SaharMaheshwari AdityaTankov PeterWarin XavierWe 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.https://www.esaim-proc.org/articles/proc/pdf/2019/01/proc196503.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Alasseur Clemence
Balata Alessandro
Ben Aziza Sahar
Maheshwari Aditya
Tankov Peter
Warin Xavier
spellingShingle Alasseur Clemence
Balata Alessandro
Ben Aziza Sahar
Maheshwari Aditya
Tankov Peter
Warin Xavier
Regression Monte Carlo for microgrid management
ESAIM: Proceedings and Surveys
author_facet Alasseur Clemence
Balata Alessandro
Ben Aziza Sahar
Maheshwari Aditya
Tankov Peter
Warin Xavier
author_sort Alasseur Clemence
title Regression Monte Carlo for microgrid management
title_short Regression Monte Carlo for microgrid management
title_full Regression Monte Carlo for microgrid management
title_fullStr Regression Monte Carlo for microgrid management
title_full_unstemmed Regression Monte Carlo for microgrid management
title_sort regression monte carlo for microgrid management
publisher EDP Sciences
series ESAIM: Proceedings and Surveys
issn 2267-3059
publishDate 2019-01-01
description 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.
url https://www.esaim-proc.org/articles/proc/pdf/2019/01/proc196503.pdf
work_keys_str_mv AT alasseurclemence regressionmontecarloformicrogridmanagement
AT balataalessandro regressionmontecarloformicrogridmanagement
AT benazizasahar regressionmontecarloformicrogridmanagement
AT maheshwariaditya regressionmontecarloformicrogridmanagement
AT tankovpeter regressionmontecarloformicrogridmanagement
AT warinxavier regressionmontecarloformicrogridmanagement
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