dc.contributor.author | Erdinç, Ozan | |
dc.contributor.author | Taşçıkaraoğlu, Akın | |
dc.contributor.author | Paterakis, Nikolaos G. | |
dc.contributor.author | Dursun, İlker | |
dc.contributor.author | Sinim, Murat Can | |
dc.contributor.author | Catalao, Joao P. S. | |
dc.date.accessioned | 2020-11-20T14:49:58Z | |
dc.date.available | 2020-11-20T14:49:58Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 1949-3053 | |
dc.identifier.issn | 1949-3061 | |
dc.identifier.uri | https://doi.org/10.1109/TSG.2017.2777738 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12809/1418 | |
dc.description | 0000-0001-8696-6516 | en_US |
dc.description | WOS: 000443196400134 | en_US |
dc.description.abstract | The 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.sponsorship | Energy 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.sponsorship | This 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.iso | eng | en_US |
dc.publisher | Ieee-Inst Electrical Electronics Engineers Inc | en_US |
dc.item-rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Distributed Generation | en_US |
dc.subject | Distribution System | en_US |
dc.subject | Electric Vehicle Charging Station | en_US |
dc.subject | Energy Storage System | en_US |
dc.subject | Sizing and Siting | en_US |
dc.title | Comprehensive Optimization Model for Sizing and Siting of DG Units, EV Charging Stations, and Energy Storage Systems | en_US |
dc.item-type | article | en_US |
dc.contributor.department | MÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü | en_US |
dc.contributor.institutionauthor | Taşçıkaraoğlu, Akın | |
dc.identifier.doi | 10.1109/TSG.2017.2777738 | |
dc.identifier.volume | 9 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.startpage | 3871 | en_US |
dc.identifier.endpage | 3882 | en_US |
dc.relation.journal | Ieee Transactions on Smart Grid | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |