An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services
The emergence of community energy storage (CES) in smart energy systems presents a critical opportunity to enhance flexibility within local energy markets while also enabling participation in both local energy trading and upstream energy and regulation markets. Advanced CES systems, comprising integ...
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2025
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| Online Access: | http://dx.doi.org/10.1016/j.est.2025.116715 https://www.sciencedirect.com/science/article/pii/S2352152X25014288 http://hdl.handle.net/10576/65653 |
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| _version_ | 1857415083718606848 |
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| author | Dorahaki, Sobhan |
| author2 | Amjady, Nima Muyeen, S.M. |
| author2_role | author author |
| author_facet | Dorahaki, Sobhan Amjady, Nima Muyeen, S.M. |
| author_role | author |
| dc.creator.none.fl_str_mv | Dorahaki, Sobhan Amjady, Nima Muyeen, S.M. |
| dc.date.none.fl_str_mv | 2025-06-22T07:31:10Z 2025-07-01 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://dx.doi.org/10.1016/j.est.2025.116715 Dorahaki, S., Amjady, N., & Muyeen, S. M. (2025). An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services. Journal of Energy Storage, 123, 116715. 2352152X https://www.sciencedirect.com/science/article/pii/S2352152X25014288 http://hdl.handle.net/10576/65653 123 2352-1538 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.none.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Adaptive market participation Bi-level optimization Community energy storage Energy trading Hydrogen energy systems Regulation services |
| dc.title.none.fl_str_mv | An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The emergence of community energy storage (CES) in smart energy systems presents a critical opportunity to enhance flexibility within local energy markets while also enabling participation in both local energy trading and upstream energy and regulation markets. Advanced CES systems, comprising integrated battery and hydrogen storage units alongside fuel cells and electrolyzers, play a pivotal role in enabling energy communities to optimize resource utilization, offer storage services to prosumers, and participate in upstream markets. This study models the competitive interaction between the CES operator and prosumers using a Stackelberg game-theoretic framework, where the CES operator acts as the leader and the prosumers as followers. The CES maximizes its profit through local energy trading and participation in upstream energy and regulation markets, while prosumers minimize their billing costs by trading energy with the CES and participating in demand response programs. The proposed structure is modeled using a mixed integer linear programming (MILP) approach and solved with the CPLEX solver, allowing for precise optimization of CES operations. Various scenarios are analyzed to assess system performance under diverse market and operational conditions. The results demonstrate that the adaptive bi-level optimization model effectively integrates CES into energy trading and regulation markets, providing reliable reserve services with minimal impact on profitability. This approach highlights the potential of CES in advancing sustainable and economically viable energy communities. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | qu_cb1c733cbd39fe555533340262c260ca |
| identifier_str_mv | Dorahaki, S., Amjady, N., & Muyeen, S. M. (2025). An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services. Journal of Energy Storage, 123, 116715. 2352152X 123 2352-1538 |
| language_invalid_str_mv | en |
| network_acronym_str | qu |
| network_name_str | Qatar University repository |
| oai_identifier_str | oai:qspace.qu.edu.qa:10576/65653 |
| publishDate | 2025 |
| publisher.none.fl_str_mv | Elsevier |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| spelling | An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation servicesDorahaki, SobhanAmjady, NimaMuyeen, S.M.Adaptive market participationBi-level optimizationCommunity energy storageEnergy tradingHydrogen energy systemsRegulation servicesThe emergence of community energy storage (CES) in smart energy systems presents a critical opportunity to enhance flexibility within local energy markets while also enabling participation in both local energy trading and upstream energy and regulation markets. Advanced CES systems, comprising integrated battery and hydrogen storage units alongside fuel cells and electrolyzers, play a pivotal role in enabling energy communities to optimize resource utilization, offer storage services to prosumers, and participate in upstream markets. This study models the competitive interaction between the CES operator and prosumers using a Stackelberg game-theoretic framework, where the CES operator acts as the leader and the prosumers as followers. The CES maximizes its profit through local energy trading and participation in upstream energy and regulation markets, while prosumers minimize their billing costs by trading energy with the CES and participating in demand response programs. The proposed structure is modeled using a mixed integer linear programming (MILP) approach and solved with the CPLEX solver, allowing for precise optimization of CES operations. Various scenarios are analyzed to assess system performance under diverse market and operational conditions. The results demonstrate that the adaptive bi-level optimization model effectively integrates CES into energy trading and regulation markets, providing reliable reserve services with minimal impact on profitability. This approach highlights the potential of CES in advancing sustainable and economically viable energy communities.This publication was made possible by the first Cycle of ARG Grant No. ARG01-0504-230073, from the Qatar Research, Development and Innovation (QRDI) Council, Qatar. The findings herein reflect the work, and are solely the responsibility, of the authors. The authors also gratefully acknowledge support from Qatar University. Open Access funding provided by the Qatar National Library.Elsevier2025-06-22T07:31:10Z2025-07-01Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1016/j.est.2025.116715Dorahaki, S., Amjady, N., & Muyeen, S. M. (2025). An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services. Journal of Energy Storage, 123, 116715.2352152Xhttps://www.sciencedirect.com/science/article/pii/S2352152X25014288http://hdl.handle.net/10576/656531232352-1538enhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:qspace.qu.edu.qa:10576/656532025-06-22T19:08:03Z |
| spellingShingle | An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services Dorahaki, Sobhan Adaptive market participation Bi-level optimization Community energy storage Energy trading Hydrogen energy systems Regulation services |
| status_str | publishedVersion |
| title | An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services |
| title_full | An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services |
| title_fullStr | An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services |
| title_full_unstemmed | An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services |
| title_short | An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services |
| title_sort | An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services |
| topic | Adaptive market participation Bi-level optimization Community energy storage Energy trading Hydrogen energy systems Regulation services |
| url | http://dx.doi.org/10.1016/j.est.2025.116715 https://www.sciencedirect.com/science/article/pii/S2352152X25014288 http://hdl.handle.net/10576/65653 |