Balancing supply and demand in the presence of renewable generation via demand response for electric water heaters

With the increasing presence of renewable energy sources in the electrical power grid, demand response via thermostatic appliances such as electric water heaters is a promising way to compensate for the significant variability in renewable power generation. We propose a multistage stochastic optimiz...

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Detalles Bibliográficos
Autores principales: Tammam, Adham I., Anjos, Miguel F., Gendreau, Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
S.I.: Stochastic Optimization:Theory&Applications in Memory of M.Bertocchi
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7441528/
https://www.ncbi.nlm.nih.gov/pubmed/32863516
http://dx.doi.org/10.1007/s10479-020-03580-1
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author Tammam, Adham I.
Anjos, Miguel F.
Gendreau, Michel
author_facet Tammam, Adham I.
Anjos, Miguel F.
Gendreau, Michel
author_sort Tammam, Adham I.
collection PubMed
description With the increasing presence of renewable energy sources in the electrical power grid, demand response via thermostatic appliances such as electric water heaters is a promising way to compensate for the significant variability in renewable power generation. We propose a multistage stochastic optimization model that computes the optimal day-ahead target profile of the mean thermal energy contained in a large population of heaters, given various possible wind power production and uncontrollable load scenarios. This optimal profile is calculated to make the variable net demand as even as possible.
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spelling pubmed-74415282020-08-27 Balancing supply and demand in the presence of renewable generation via demand response for electric water heaters Tammam, Adham I. Anjos, Miguel F. Gendreau, Michel Ann Oper Res S.I.: Stochastic Optimization:Theory&Applications in Memory of M.Bertocchi With the increasing presence of renewable energy sources in the electrical power grid, demand response via thermostatic appliances such as electric water heaters is a promising way to compensate for the significant variability in renewable power generation. We propose a multistage stochastic optimization model that computes the optimal day-ahead target profile of the mean thermal energy contained in a large population of heaters, given various possible wind power production and uncontrollable load scenarios. This optimal profile is calculated to make the variable net demand as even as possible. Springer US 2020-03-31 2020 /pmc/articles/PMC7441528/ /pubmed/32863516 http://dx.doi.org/10.1007/s10479-020-03580-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle S.I.: Stochastic Optimization:Theory&Applications in Memory of M.Bertocchi
Tammam, Adham I.
Anjos, Miguel F.
Gendreau, Michel
Balancing supply and demand in the presence of renewable generation via demand response for electric water heaters
title Balancing supply and demand in the presence of renewable generation via demand response for electric water heaters
title_full Balancing supply and demand in the presence of renewable generation via demand response for electric water heaters
title_fullStr Balancing supply and demand in the presence of renewable generation via demand response for electric water heaters
title_full_unstemmed Balancing supply and demand in the presence of renewable generation via demand response for electric water heaters
title_short Balancing supply and demand in the presence of renewable generation via demand response for electric water heaters
title_sort balancing supply and demand in the presence of renewable generation via demand response for electric water heaters
topic S.I.: Stochastic Optimization:Theory&Applications in Memory of M.Bertocchi
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7441528/
https://www.ncbi.nlm.nih.gov/pubmed/32863516
http://dx.doi.org/10.1007/s10479-020-03580-1
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