Publication:
Model Predictive Controlled Application of Power Management Algorithm for Battery Energy Storage System Providing Frequency Ancillary Service

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dc.authorscopusid57210578628
dc.authorscopusid57189095244
dc.authorscopusid56194083700
dc.authorscopusid22433630600
dc.contributor.authorAkpinar, K.N.
dc.contributor.authorSarma, N.
dc.contributor.authorGundogdu, B.
dc.contributor.authorÖzgönenel, O.
dc.date.accessioned2025-12-11T00:31:21Z
dc.date.issued2023
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Akpinar] Kubra Nur, Technical Sciences Vhs, Marmara Üniversitesi, Istanbul, Turkey; [Sarma] Nur, Durham University, Durham, County Durham, United Kingdom, Department of Electrical and Electronic Engineering, Düzce Üniversitesi, Duzce, Turkey; [Gundogdu] Burcu Mantar, Computer Technologies, Hakkari Üniversitesi, Hakkari, Turkey, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Özgönenel] Okan, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractThe active power that must be provided in accordance with frequency ancillary service regulations when battery energy storage systems participate in the frequency ancillary service is modelled in this study using a Model Predicted Controlled (MPC) 2-Level Voltage Source Converter (2L-VSC). The reference active power for the 2 MW battery energy storage system was determined using the rule-based power management method, and the outcome was then used as the Model Predicted Control's input data. The output power for the MPC 2L-VSC, whose simulation study was conducted in the Simulink, successfully remained within the active power-frequency envelope in the frequency ancillary service regulation, and the demanded power was delivered by using the battery state of charge (SOC) value optimally. © 2023 IEEE.en_US
dc.identifier.doi10.1109/ELECO60389.2023.10416032
dc.identifier.isbn9798350360493
dc.identifier.scopus2-s2.0-85185836469
dc.identifier.urihttps://doi.org/10.1109/ELECO60389.2023.10416032
dc.identifier.urihttps://hdl.handle.net/20.500.12712/36980
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof-- 14th International Conference on Electrical and Electronics Engineering, ELECO 2023 -- 2023-11-30 through 2023-12-02 -- Virtual, Bursa -- 197135en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleModel Predictive Controlled Application of Power Management Algorithm for Battery Energy Storage System Providing Frequency Ancillary Serviceen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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