Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2978
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dc.contributor.authorKurt, Nermin Elif-
dc.contributor.authorŞahin, H. Bahadır-
dc.contributor.authorDerinkuyu, Kürşad-
dc.date.accessioned2019-12-26T14:47:03Z
dc.date.available2019-12-26T14:47:03Z
dc.date.issued2018-06-27
dc.identifier.citationKurt, N. E., Sahin, H. B., & Derinkuyu, K. (2018, June). An Adaptive Tabu Search Algorithm for Market Clearing Problem in Turkish Day-Ahead Market. In 2018 15th International Conference on the European Energy Market (EEM) (pp. 1-6). IEEE.en_US
dc.identifier.issn2165-4077
dc.identifier.urihttps://ieeexplore.ieee.org/document/8469926-
dc.identifier.urihttps://doi.org/10.1109/EEM.2018.8469926-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/2978-
dc.identifier.urihttps://arxiv.org/pdf/1809.10554.pdf-
dc.description.abstractIn this study, we focus on the market clearing problem of Turkish day-ahead electricity market. We propose a mathematical model by extending the variety of bid types for different price regions. The commercial solvers may not find any feasible solution for the proposed problem in some instances within the given time limits. Hence, we design an adaptive tabu search (ATS) algorithm to solve the problem. ATS discretizes continuous search space arising from the flow v ariables. Our method has adaptive radius and it achieves backtracking by a commercial solver. Then, we compare the performance of ATS with a heuristic decomposition method from the literature by using synthetic data sets. We evaluate the performances of the algorithms with respect to their solution times and surplus differences. ATS performs better in most of the sets.en_US
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartofInternational Conference on the European Energy Market, EEMen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPower generation dispatchen_US
dc.subjectPower systemsen_US
dc.subjectCommerceen_US
dc.subjectElectric load dispatchingen_US
dc.subjectHeuristic methodsen_US
dc.subjectProblem solvingen_US
dc.subjectStandby power systemsen_US
dc.subjectTabu searchen_US
dc.titleAn Adaptive Tabu Search Algorithm for Market Clearing Problem in Turkish Day-Ahead Marketen_US
dc.typeConference Objecten_US
dc.rights.holder© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
dc.relation.ispartofseriesInternational Conference on the European Energy Market, EEMen_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.relation.tubitakinfo:eu-repo/grantAgreement/TÜBİTAK/TEYDEB/3161185
dc.authorid0000-0002-4065-8857-
dc.identifier.wosWOS:000482771100138en_US
dc.identifier.scopus2-s2.0-85055558403en_US
dc.institutionauthorDerinkuyu, Kürşad-
dc.identifier.doi10.1109/EEM.2018.8469926-
dc.identifier.doi10.1109/EEM.2018.8469926-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusquality--
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
crisitem.author.dept02.4. Department of Industrial Engineering-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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