A Grey Wolf Optimization Based Approach to Provide Ancillary Services for Battery Owners
| dc.contributor.author | Çakir, M.T. | |
| dc.contributor.author | Esen, I.S. | |
| dc.contributor.author | Ceylan, O. | |
| dc.contributor.author | Zehir, M.A. | |
| dc.contributor.author | Zanaj, E. | |
| dc.date.accessioned | 2025-11-15T14:47:04Z | |
| dc.date.available | 2025-11-15T14:47:04Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | As is known, batteries have started to be used increasingly in both power distribution and transmission networks. This study develops a near-optimal approach for ancillary services in power networks from the perspective of the battery owner. We first model the optimization algorithm for the battery owner, then utilize a grey wolf optimization approach, where near-optimal actions are selected daily from available services. We use real data of frequency, voltage magnitude, combined home and Photovoltaic system, and transformer load to perform the simulations. The simulation results show that battery owners may profit from these services and help the system operators solve the issues such as over-voltage, under-voltage, frequency, and similar. © 2025 Elsevier B.V., All rights reserved. | en_US |
| dc.description.sponsorship | Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TUBITAK | en_US |
| dc.description.sponsorship | This research is supported as a part of “122N815 Optimum dynamic stacking of multiple services for Distributed Energy Resources” project under the framework of 2547 Project organized by “The Scientific and Technological Research Council of Turkey TUBITAK” and “National Agency for Scientific Research and Innovation of Albania (NASRI)” | |
| dc.description.sponsorship | Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TUBITAK; National Agency for Scientific Research and Innovation of Albania; NASRI | |
| dc.identifier.doi | 10.2298/SJEE2502243C | |
| dc.identifier.issn | 2217-7183 | |
| dc.identifier.issn | 1451-4869 | |
| dc.identifier.scopus | 2-s2.0-105018641296 | |
| dc.identifier.uri | https://doi.org/10.2298/SJEE2502243C | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/7598 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of Kragujevac Faculty of Technical Sciences in Cacak | en_US |
| dc.relation.ispartof | Serbian Journal of Electrical Engineering | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Ancillary Services | en_US |
| dc.subject | Batteries | en_US |
| dc.subject | Grey Wolf Optimization | en_US |
| dc.subject | Optimization | en_US |
| dc.title | A Grey Wolf Optimization Based Approach to Provide Ancillary Services for Battery Owners | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
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| gdc.coar.access | open access | |
| gdc.coar.type | text::journal::journal article | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | Kadir Has University | en_US |
| gdc.description.departmenttemp | [Çakir] Muhammed Turhan, Marmara Üniversitesi, Istanbul, Turkey; [Esen] Irem Sude, Marmara Üniversitesi, Istanbul, Turkey; [Ceylan] Oǧuzhan, Kadir Has Üniversitesi, Istanbul, Turkey; [Zehir] Mustafa Alparslan, Marmara Üniversitesi, Istanbul, Turkey; [Zanaj] Elma, Polytechnic University of Tirana, Tirana, Albania | en_US |
| gdc.description.endpage | 265 | en_US |
| gdc.description.issue | 2 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q4 | |
| gdc.description.startpage | 243 | en_US |
| gdc.description.volume | 22 | en_US |
| gdc.description.wosquality | N/A | |
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| gdc.oaire.keywords | batteries | |
| gdc.oaire.keywords | Electrical engineering. Electronics. Nuclear engineering | |
| gdc.oaire.keywords | ancillary services | |
| gdc.oaire.keywords | optimization | |
| gdc.oaire.keywords | grey wolf optimization | |
| gdc.oaire.keywords | TK1-9971 | |
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| gdc.virtual.author | Ceylan, Oğuzhan | |
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