Cargando…
MILP-based optimal day-ahead scheduling for a system-centric community energy management system supporting different types of homes and energy trading
Optimal day-ahead scheduling for a system-centric community energy management system (CEMS) is proposed to provide economic benefits and user comfort of energy management at the community level. Our proposed community includes different types of homes and allows prosumers to trade energy locally usi...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622879/ https://www.ncbi.nlm.nih.gov/pubmed/36316418 http://dx.doi.org/10.1038/s41598-022-22293-y |
_version_ | 1784821872124231680 |
---|---|
author | Dinh, Huy Truong Kim, Dongwan Kim, Daehee |
author_facet | Dinh, Huy Truong Kim, Dongwan Kim, Daehee |
author_sort | Dinh, Huy Truong |
collection | PubMed |
description | Optimal day-ahead scheduling for a system-centric community energy management system (CEMS) is proposed to provide economic benefits and user comfort of energy management at the community level. Our proposed community includes different types of homes and allows prosumers to trade energy locally using mid-market rate (MMR) pricing. A mathematical model of the community is constructed and the optimization problem of this model is transformed into an MILP problem that can be solved in a short time. By solving this MILP problem, the optimization of the overall energy cost of the community and satisfaction of the thermal comfort at every home are achieved. For comparison, we also establish two different CEMSs for the same community: a prosumer-centric CEMS and no CEMS. The simulation results demonstrate that the community with the proposed CEMS has the lowest daily energy cost among three CEMSs. In particular, the community with the proposed CEMS only has [Formula: see text] of the daily energy cost of the community with the prosumer-centric CEMS. Moreover, by using linear transformation, the computational time of the optimization problem of the proposed system-centric CEMS is only 118.2 s for a 500-home community, which is a short time for day-ahead scheduling of a community. We finally investigate the trade-off of the MMR pricing in the local energy trading of the community, which allows the profits of different types of homes to be flexibly adjusted. |
format | Online Article Text |
id | pubmed-9622879 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96228792022-11-02 MILP-based optimal day-ahead scheduling for a system-centric community energy management system supporting different types of homes and energy trading Dinh, Huy Truong Kim, Dongwan Kim, Daehee Sci Rep Article Optimal day-ahead scheduling for a system-centric community energy management system (CEMS) is proposed to provide economic benefits and user comfort of energy management at the community level. Our proposed community includes different types of homes and allows prosumers to trade energy locally using mid-market rate (MMR) pricing. A mathematical model of the community is constructed and the optimization problem of this model is transformed into an MILP problem that can be solved in a short time. By solving this MILP problem, the optimization of the overall energy cost of the community and satisfaction of the thermal comfort at every home are achieved. For comparison, we also establish two different CEMSs for the same community: a prosumer-centric CEMS and no CEMS. The simulation results demonstrate that the community with the proposed CEMS has the lowest daily energy cost among three CEMSs. In particular, the community with the proposed CEMS only has [Formula: see text] of the daily energy cost of the community with the prosumer-centric CEMS. Moreover, by using linear transformation, the computational time of the optimization problem of the proposed system-centric CEMS is only 118.2 s for a 500-home community, which is a short time for day-ahead scheduling of a community. We finally investigate the trade-off of the MMR pricing in the local energy trading of the community, which allows the profits of different types of homes to be flexibly adjusted. Nature Publishing Group UK 2022-10-31 /pmc/articles/PMC9622879/ /pubmed/36316418 http://dx.doi.org/10.1038/s41598-022-22293-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Dinh, Huy Truong Kim, Dongwan Kim, Daehee MILP-based optimal day-ahead scheduling for a system-centric community energy management system supporting different types of homes and energy trading |
title | MILP-based optimal day-ahead scheduling for a system-centric community energy management system supporting different types of homes and energy trading |
title_full | MILP-based optimal day-ahead scheduling for a system-centric community energy management system supporting different types of homes and energy trading |
title_fullStr | MILP-based optimal day-ahead scheduling for a system-centric community energy management system supporting different types of homes and energy trading |
title_full_unstemmed | MILP-based optimal day-ahead scheduling for a system-centric community energy management system supporting different types of homes and energy trading |
title_short | MILP-based optimal day-ahead scheduling for a system-centric community energy management system supporting different types of homes and energy trading |
title_sort | milp-based optimal day-ahead scheduling for a system-centric community energy management system supporting different types of homes and energy trading |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9622879/ https://www.ncbi.nlm.nih.gov/pubmed/36316418 http://dx.doi.org/10.1038/s41598-022-22293-y |
work_keys_str_mv | AT dinhhuytruong milpbasedoptimaldayaheadschedulingforasystemcentriccommunityenergymanagementsystemsupportingdifferenttypesofhomesandenergytrading AT kimdongwan milpbasedoptimaldayaheadschedulingforasystemcentriccommunityenergymanagementsystemsupportingdifferenttypesofhomesandenergytrading AT kimdaehee milpbasedoptimaldayaheadschedulingforasystemcentriccommunityenergymanagementsystemsupportingdifferenttypesofhomesandenergytrading |