Distributed Generation System Planning Based on Renewable Energy Source

dc.contributor.author Çakmak, Fevzi
dc.contributor.author Oymak, Aysenur
dc.contributor.author Altun, Muslime
dc.contributor.author Tür, Mehmet Rıda
dc.contributor.author Cakmak, Fevzi
dc.contributor.author Atic, Serdal
dc.contributor.author Tur, Mehmet Rida
dc.contributor.author Bayindir, Ramazan
dc.contributor.other 18.04. Department of Electricity / Elektrik Bölümü
dc.contributor.other 17.02. Department of Electricity and Energy / Elektrik ve Enerji Bölümü
dc.contributor.other 17. Vocational Higher School / Meslek Yüksekokulu
dc.contributor.other 18. Vocational Higher School of Midyat/ Midyat Meslek Yüksekokulu
dc.contributor.other 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
dc.date.accessioned 2022-12-26T11:17:54Z
dc.date.available 2022-12-26T11:17:54Z
dc.date.issued 2022
dc.description Atic, Serdal/0000-0002-4525-2856 en_US
dc.description.abstract Distributed generation systems are needed in order to use existing energy resources efficiently and to meet energy needs. Although the interconnection of distributed generation systems with renewable sources offers many advantages, technical difficulties may arise from the inappropriate integration of distributed generation. Therefore, optimal planning of distributed generation is very important for the distributed grid to provide the expected power. Optimizing production systems is used to increase efficiency, provide flexibility in electrical systems, reduce costs and reduce power fluctuations. Meta-heuristic algorithms are more suitable for multi-purpose applications. In this study, the renewable energy source and energy storage system in the distributed generation system are also mentioned. Some of the optimization methods used for optimal planning of the distributed system are also included. en_US
dc.identifier.citation Oymak, A., Altun, M., Çakmak, F., Atiç, S., Tür, M. R., & Bayındir, R. (2022, June). Distributed generation system planning based on renewable energy source. In 2022 10th International Conference on Smart Grid (icSmartGrid) (pp. 368-373). IEEE. en_US
dc.identifier.doi 10.1109/ICSMARTGRID55722.2022.9848727
dc.identifier.isbn 9781665486057
dc.identifier.isbn 9781665486040
dc.identifier.scopus 2-s2.0-85137825930
dc.identifier.uri https://doi.org/10.1109/ICSMARTGRID55722.2022.9848727
dc.indekslendigikaynak Scopus en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartof 10th International Conference on Smart Grid (icSmartGrid) -- JUN 27-29, 2022 -- Istanbul, TURKEY en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Distributed Generation en_US
dc.subject Renewable Resources en_US
dc.subject Meta-Heuristic Algorithm en_US
dc.subject Energy Storage System en_US
dc.title Distributed Generation System Planning Based on Renewable Energy Source en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.id Atic, Serdal/0000-0002-4525-2856
gdc.author.wosid Atiç, Serdal/Aib-5788-2022
gdc.author.wosid Tur, Mehmet/W-3302-2018
gdc.author.wosid Bayindir, Ramazan/A-4595-2018
gdc.author.wosid Çakmak, Fevzi/Jtv-4348-2023
gdc.coar.access metadata only access
gdc.coar.type text::conference output
gdc.description.department Artuklu University en_US
gdc.description.departmenttemp [Oymak, Aysenur] Batman Univ, Dept Elect Elect Engn, Batman, Turkiye; [Altun, Muslime] Batman Univ, Energy Coordinat Ctr, Batman, Turkiye; [Cakmak, Fevzi] Mardin Artuklu Univ, Midyat Vocat Sch, Mardin, Turkiye; [Atic, Serdal; Tur, Mehmet Rida] Batman Univ, Elect & Energy Dept, Batman, Turkiye; [Bayindir, Ramazan] Gazi Univ, Dept Elect Elect Engn, Ankara, Turkiye en_US
gdc.description.endpage 373 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 368 en_US
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
gdc.description.wosquality N/A
gdc.identifier.wos WOS:001267854400063
gdc.openalex.fwci 0.308
gdc.scopus.citedcount 8
gdc.wos.citedcount 5
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