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

dc.authorscopusid 57202848987
dc.authorscopusid 26665865200
dc.authorscopusid 7006505111
dc.contributor.author Ahmadi,B.
dc.contributor.author Ceylan, Oğuzhan
dc.contributor.author Ceylan,O.
dc.contributor.author Ozdemir,A.
dc.contributor.other Management Information Systems
dc.date.accessioned 2024-06-23T21:38:57Z
dc.date.available 2024-06-23T21:38:57Z
dc.date.issued 2023
dc.department Kadir Has University en_US
dc.department-temp Ahmadi 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, Turkey en_US
dc.description Chinese 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 Institute en_US
dc.description.abstract This 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.sponsorship Horizon 2020, (957682, 117E773); Horizon 2020 en_US
dc.identifier.citationcount 0
dc.identifier.doi 10.1109/EI259745.2023.10512676
dc.identifier.endpage 373 en_US
dc.identifier.isbn 979-835034509-4
dc.identifier.scopus 2-s2.0-85194142119
dc.identifier.startpage 368 en_US
dc.identifier.uri https://doi.org/10.1109/EI259745.2023.10512676
dc.identifier.uri https://hdl.handle.net/20.500.12469/5840
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 2023 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 -- 199410 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 1
dc.subject DG Penetration en_US
dc.subject Mobile Battery Energy Storage System en_US
dc.subject Optimization en_US
dc.subject Seasonal Battery Allocation en_US
dc.subject Voltage Violations en_US
dc.title Optimal Allocation of Distributed Generators and Mobile Battery Energy Storage Systems in Distribution System en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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