Optimizing microgrid efficiency: Coordinating commercial and residential demand patterns with shared battery energy storage
<p>The optimization of energy systems within a multi-microgrid framework, enriched by shared Battery Energy Storage Systems (BESS), has emerged as a compelling avenue for enhancing the efficiency of distributed energy networks. In response to the increasing integration of BESS in modern energy...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , |
| Published: |
2024
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513516025675776 |
|---|---|
| author | Mohammadreza Gholami (17032317) |
| author2 | S.M. Muyeen (15746160) Shunfu Lin (18560542) |
| author2_role | author author |
| author_facet | Mohammadreza Gholami (17032317) S.M. Muyeen (15746160) Shunfu Lin (18560542) |
| author_role | author |
| dc.creator.none.fl_str_mv | Mohammadreza Gholami (17032317) S.M. Muyeen (15746160) Shunfu Lin (18560542) |
| dc.date.none.fl_str_mv | 2024-05-30T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.est.2024.111485 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Optimizing_microgrid_efficiency_Coordinating_commercial_and_residential_demand_patterns_with_shared_battery_energy_storage/25826944 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering Residential-commercial microgrid (MG) Battery energy storage system (BESS) Load profile improvement Shared energy storage Firefly algorithm (FA) Dynamic thermal rating (DTR) system |
| dc.title.none.fl_str_mv | Optimizing microgrid efficiency: Coordinating commercial and residential demand patterns with shared battery energy storage |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>The optimization of energy systems within a multi-microgrid framework, enriched by shared Battery Energy Storage Systems (BESS), has emerged as a compelling avenue for enhancing the efficiency of distributed energy networks. In response to the increasing integration of BESS in modern energy systems, this study investigates the implications of incorporating BESS within connected residential-commercial Microgrids (MGs). Unlike previous studies that primarily focused on cost and reliability, this research fills a significant gap in the literature by investigating the optimization of load demands patterns. Specifically, we explore the impact of shared BESS on load demand patterns in commercial-residential MGs. The research introduces two innovative critical load metrics, peak-to-average ratio (PAR) and demand profile smoothness (DPS), to assess the influence of BESS on demand profiles. In addition, the study explores the integration of a Dynamic Thermal Rating (DTR) system, compared to traditional fixed thermal rating systems, to further optimize the performance and efficiency of connected residential-commercial MGs enriched by shared BESS. Three distinct case studies, each comprising a commercial MG (shopping mall, hotel, and office building) paired with a residential MG, were considered. Utilizing a Firefly Algorithm (FA) for optimization, the study determines the optimized BESS capacity for minimum total cost. The results highlight that the implementation of shared BESS, especially in collaboration between commercial and residential MGs, significantly reduces imported energy from the main grid, enhancing MG flexibility and resilience. While the economic benefits of shared BESS may not be substantial (up to 3.25 % cost reduction), the study underscores its contribution to more balanced and smoother load demand curves, with improvements in PAR (up to 15.63 %) and DPS (up to26.05 %). Moreover, considering DTR for transmission lines, instead of fixed thermal rating, improves the PAR and DPS up to 28.52 % and 41.06 % respectively. The findings of this study highlight the importance of considering load demand patterns in the design and operation of MGs and underscore the multifaceted benefits of shared BESS beyond economic considerations.</p><h2>Other Information</h2> <p> Published in: Journal of Energy Storage<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.est.2024.111485" target="_blank">https://dx.doi.org/10.1016/j.est.2024.111485</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_994cfb58e803f3a4919bf96c9f62531d |
| identifier_str_mv | 10.1016/j.est.2024.111485 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25826944 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Optimizing microgrid efficiency: Coordinating commercial and residential demand patterns with shared battery energy storageMohammadreza Gholami (17032317)S.M. Muyeen (15746160)Shunfu Lin (18560542)EngineeringElectrical engineeringResidential-commercial microgrid (MG)Battery energy storage system (BESS)Load profile improvementShared energy storageFirefly algorithm (FA)Dynamic thermal rating (DTR) system<p>The optimization of energy systems within a multi-microgrid framework, enriched by shared Battery Energy Storage Systems (BESS), has emerged as a compelling avenue for enhancing the efficiency of distributed energy networks. In response to the increasing integration of BESS in modern energy systems, this study investigates the implications of incorporating BESS within connected residential-commercial Microgrids (MGs). Unlike previous studies that primarily focused on cost and reliability, this research fills a significant gap in the literature by investigating the optimization of load demands patterns. Specifically, we explore the impact of shared BESS on load demand patterns in commercial-residential MGs. The research introduces two innovative critical load metrics, peak-to-average ratio (PAR) and demand profile smoothness (DPS), to assess the influence of BESS on demand profiles. In addition, the study explores the integration of a Dynamic Thermal Rating (DTR) system, compared to traditional fixed thermal rating systems, to further optimize the performance and efficiency of connected residential-commercial MGs enriched by shared BESS. Three distinct case studies, each comprising a commercial MG (shopping mall, hotel, and office building) paired with a residential MG, were considered. Utilizing a Firefly Algorithm (FA) for optimization, the study determines the optimized BESS capacity for minimum total cost. The results highlight that the implementation of shared BESS, especially in collaboration between commercial and residential MGs, significantly reduces imported energy from the main grid, enhancing MG flexibility and resilience. While the economic benefits of shared BESS may not be substantial (up to 3.25 % cost reduction), the study underscores its contribution to more balanced and smoother load demand curves, with improvements in PAR (up to 15.63 %) and DPS (up to26.05 %). Moreover, considering DTR for transmission lines, instead of fixed thermal rating, improves the PAR and DPS up to 28.52 % and 41.06 % respectively. The findings of this study highlight the importance of considering load demand patterns in the design and operation of MGs and underscore the multifaceted benefits of shared BESS beyond economic considerations.</p><h2>Other Information</h2> <p> Published in: Journal of Energy Storage<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.est.2024.111485" target="_blank">https://dx.doi.org/10.1016/j.est.2024.111485</a></p>2024-05-30T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.est.2024.111485https://figshare.com/articles/journal_contribution/Optimizing_microgrid_efficiency_Coordinating_commercial_and_residential_demand_patterns_with_shared_battery_energy_storage/25826944CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/258269442024-05-30T03:00:00Z |
| spellingShingle | Optimizing microgrid efficiency: Coordinating commercial and residential demand patterns with shared battery energy storage Mohammadreza Gholami (17032317) Engineering Electrical engineering Residential-commercial microgrid (MG) Battery energy storage system (BESS) Load profile improvement Shared energy storage Firefly algorithm (FA) Dynamic thermal rating (DTR) system |
| status_str | publishedVersion |
| title | Optimizing microgrid efficiency: Coordinating commercial and residential demand patterns with shared battery energy storage |
| title_full | Optimizing microgrid efficiency: Coordinating commercial and residential demand patterns with shared battery energy storage |
| title_fullStr | Optimizing microgrid efficiency: Coordinating commercial and residential demand patterns with shared battery energy storage |
| title_full_unstemmed | Optimizing microgrid efficiency: Coordinating commercial and residential demand patterns with shared battery energy storage |
| title_short | Optimizing microgrid efficiency: Coordinating commercial and residential demand patterns with shared battery energy storage |
| title_sort | Optimizing microgrid efficiency: Coordinating commercial and residential demand patterns with shared battery energy storage |
| topic | Engineering Electrical engineering Residential-commercial microgrid (MG) Battery energy storage system (BESS) Load profile improvement Shared energy storage Firefly algorithm (FA) Dynamic thermal rating (DTR) system |