Optimal Allocation of Distributed Generators and Mobile Battery Energy Storage Systems in Distribution System

dc.authorscopusid57202848987
dc.authorscopusid26665865200
dc.authorscopusid7006505111
dc.contributor.authorCeylan, Oğuzhan
dc.contributor.authorCeylan,O.
dc.contributor.authorOzdemir,A.
dc.date.accessioned2024-06-23T21:38:57Z
dc.date.available2024-06-23T21:38:57Z
dc.date.issued2023
dc.departmentKadir Has Universityen_US
dc.department-tempAhmadi B., University of Twente, Faculty of Eemcs, Enschede, Netherlands; Ceylan O., Kadir Has University, Management Information Systems Department, Istanbul, Turkey; Ozdemir A., Istanbul Technical University, Department of Electrical Engineering, Istanbul, Turkeyen_US
dc.descriptionChinese Society for Electrical Engineering; Department of Electrical Engineering of Tsinghua University; et al.; IEEE Power and Energy Society; Taiyuan University of Technology; Zhejiang University Hainan Instituteen_US
dc.description.abstractThis research proposes an expansion planning frame-work that determines the optimal number, location, size, and type of distributed generators (DGs) and the number, capacity, location, and operation of mobile battery energy storage systems (MBESSs) in the distribution networks to improve the voltage profiles. The framework is applied to IEEE 33-bus and 69-bus standard test systems. The framework uses the advanced grey-wolf optimization (AGWO) developed to deal with mixed-integer nonlinear programming problems and the forward-backward sweep power flow method to determine the optimal control parameters defined for the problem. This study shows that the proposed framework enables the allocation and operation of DG and MBESS units to eliminate all voltage violations. Moreover, a clear roadmap is proposed for the size and location of DG units in the system and guidelines for the monthly location of MBESS. © 2023 IEEE.en_US
dc.description.sponsorshipHorizon 2020, (957682, 117E773); Horizon 2020en_US
dc.identifier.citation0
dc.identifier.doi10.1109/EI259745.2023.10512676
dc.identifier.endpage373en_US
dc.identifier.isbn979-835034509-4
dc.identifier.scopus2-s2.0-85194142119
dc.identifier.scopusqualityN/A
dc.identifier.startpage368en_US
dc.identifier.urihttps://doi.org/10.1109/EI259745.2023.10512676
dc.identifier.urihttps://hdl.handle.net/20.500.12469/5840
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023 -- 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023 -- 15 December 2023 through 18 December 2023 -- Hangzhou -- 199410en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDG Penetrationen_US
dc.subjectMobile Battery Energy Storage Systemen_US
dc.subjectOptimizationen_US
dc.subjectSeasonal Battery Allocationen_US
dc.subjectVoltage Violationsen_US
dc.titleOptimal Allocation of Distributed Generators and Mobile Battery Energy Storage Systems in Distribution Systemen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublicationb80c3194-906c-4e78-a54c-e3cd1effc970
relation.isAuthorOfPublication.latestForDiscoveryb80c3194-906c-4e78-a54c-e3cd1effc970

Files