Distribution network risk assessment in the presence of RES and ESS

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dc.contributor.authorTuncel, Suleyman
dc.contributor.authorGözel, Tuba
dc.contributor.authorSeker, Ayse Aybike
dc.contributor.authorOskouei, Morteza Zare
dc.contributor.authorMohammadi-Ivatloo, Behnam
dc.contributor.authorAbapour, Mehdi
dc.contributor.authorHocaoglu, Mehmet Hakan
dc.date.accessioned2025-10-29T11:15:30Z
dc.date.issued2021
dc.departmentFakülteler, Mühendislik Fakültesi, Elektronik Mühendisliği Bölümü
dc.description11th Smart Grid Conference (SGC) -- DEC 07-09, 2021 -- Univ Tabriz, Fac Elect & Comp Engn, Tabriz, IRAN
dc.description.abstractThe high penetration of renewable energy sources in distribution networks may cause operational risks. Electrical energy storage systems are used in coordination with renewables to overcome bus voltage violations and branch power flow limits. In this study, with a probabilistic approach, a scheduling optimization problem is solved to minimize the total operational cost of a distribution network. In the presence of ESS and RESs, the risk indicators are investigated. Effects of CAES (Compressed Air Energy Storage) and increasing penetration level of PV systems and WTs are estimated. Results may provide a perspective for network operators to increase penetration of RESs in distribution networks.
dc.description.sponsorshipTUBITAK (The Scientific and Technological Research Council of Turkey) [119N712]
dc.description.sponsorshipIranian Ministry of Science, Research and Technology (MSRT)
dc.description.sponsorshipUniversity of Tabriz [99-24-800]
dc.description.sponsorshipThis study is funded by TUBITAK (The Scientific and Technological Research Council of Turkey) through project number 119N712 and Iranian Ministry of Science, Research and Technology (MSRT) as well as the University of Tabriz under Grant No. 99-24-800 with the title GREENER, Energy storage system planning in coordination with renewable sources in East Azerbaijan-Iran power system.
dc.identifier.doi10.1109/SGC54087.2021.9664056
dc.identifier.endpage401
dc.identifier.isbn978-1-6654-0165-4
dc.identifier.issn2572-6935
dc.identifier.issn2572-6927
dc.identifier.orcid0000-0001-6528-3812
dc.identifier.orcid0000-0003-4798-0635
dc.identifier.orcid0000-0003-4565-2590
dc.identifier.scopus2-s2.0-85124797819
dc.identifier.scopusqualityN/A
dc.identifier.startpage397
dc.identifier.urihttps://doi.org/10.1109/SGC54087.2021.9664056
dc.identifier.urihttps://hdl.handle.net/20.500.14854/7135
dc.identifier.wosWOS:000773944700072
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2021 11th Smart Grid Conference (Sgc)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20251020
dc.subjectCAES
dc.subjectdistribution network
dc.subjectoptimal scheduling
dc.subjectRES
dc.subjectrisk assessment
dc.titleDistribution network risk assessment in the presence of RES and ESS
dc.typeConference Object

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