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dc.contributor.authorErdinç, Ozan
dc.contributor.authorTaşçıkaraoğlu, Akın
dc.contributor.authorPaterakis, Nikolaos G.
dc.contributor.authorDursun, İlker
dc.contributor.authorSinim, Murat Can
dc.contributor.authorCatalao, Joao P. S.
dc.date.accessioned2020-11-20T14:49:58Z
dc.date.available2020-11-20T14:49:58Z
dc.date.issued2018
dc.identifier.issn1949-3053
dc.identifier.issn1949-3061
dc.identifier.urihttps://doi.org/10.1109/TSG.2017.2777738
dc.identifier.urihttps://hdl.handle.net/20.500.12809/1418
dc.description0000-0001-8696-6516en_US
dc.descriptionWOS: 000443196400134en_US
dc.description.abstractThe sizing and siting of renewable resources-based distributed generation (DG) units has been a topic of growing interest, especially during the last decade due to the increasing interest in renewable energy systems and the possible impacts of their volatility on distribution system operation. This paper goes beyond the existing literature by presenting a comprehensive optimization model for the sizing and siting of different renewable resources-based DG units, electric vehicle charging stations, and energy storage systems within the distribution system. The proposed optimization model is formulated as a second order conic programming problem, considering also the time-varying nature of DG generation and load consumption, in contrast with the majority of the relevant studies that have been based on static values.en_US
dc.description.sponsorshipEnergy Market Regulatory Authority of Turkey Research and Development Funds (Project "Impact Analysis and Optimization Project of Systems Embedded to Distribution System-DAGSIS"); FEDER Funds through COMPETE 2020; Portuguese Funds through FCT [SAICT-PAC/0004/2015-POCI-01-0145-FEDER-016434, POCI-01-0145-FEDER-006961, UID/EEA/50014/2013, UID/CEC/50021/2013, UID/EMS/00151/2013, SFRH/BPD/103744/2014]; EU Seventh Framework Programme FP7/2007-2013 (Project SiNGULAR) [309048]en_US
dc.description.sponsorshipThis work was supported in part by the Energy Market Regulatory Authority of Turkey Research and Development Funds (Project "Impact Analysis and Optimization Project of Systems Embedded to Distribution System-DAGSIS"), in part by FEDER Funds through COMPETE 2020 and by Portuguese Funds through FCT under Project SAICT-PAC/0004/2015-POCI-01-0145-FEDER-016434, Project POCI-01-0145-FEDER-006961, Project UID/EEA/50014/2013, Project UID/CEC/50021/2013, Project UID/EMS/00151/2013, and Project SFRH/BPD/103744/2014, and in part by the EU Seventh Framework Programme FP7/2007-2013 (Project SiNGULAR) under Grant 309048.en_US
dc.item-language.isoengen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.item-rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDistributed Generationen_US
dc.subjectDistribution Systemen_US
dc.subjectElectric Vehicle Charging Stationen_US
dc.subjectEnergy Storage Systemen_US
dc.subjectSizing and Sitingen_US
dc.titleComprehensive Optimization Model for Sizing and Siting of DG Units, EV Charging Stations, and Energy Storage Systemsen_US
dc.item-typearticleen_US
dc.contributor.departmentMÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.contributor.institutionauthorTaşçıkaraoğlu, Akın
dc.identifier.doi10.1109/TSG.2017.2777738
dc.identifier.volume9en_US
dc.identifier.issue4en_US
dc.identifier.startpage3871en_US
dc.identifier.endpage3882en_US
dc.relation.journalIeee Transactions on Smart Griden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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