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 | Ceylan, Oğuzhan | |
dc.contributor.author | Ceylan,O. | |
dc.contributor.author | Ozdemir,A. | |
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.citation | 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.scopusquality | N/A | |
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.identifier.wosquality | N/A | |
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.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 | |
relation.isAuthorOfPublication | b80c3194-906c-4e78-a54c-e3cd1effc970 | |
relation.isAuthorOfPublication.latestForDiscovery | b80c3194-906c-4e78-a54c-e3cd1effc970 |