Publication:
Dynamic Active and Reactive Power Control with Utility-Scale Battery Energy Storage Systems

dc.authorscopusid57210578628
dc.authorscopusid22433630600
dc.authorscopusid57218590349
dc.authorscopusid56194083700
dc.authorscopusid57189095244
dc.contributor.authorAkpinar, K.N.
dc.contributor.authorÖzgönenel, O.
dc.contributor.authorGenç, S.
dc.contributor.authorGundogdu, B.
dc.contributor.authorSarma, N.
dc.date.accessioned2025-12-11T00:32:52Z
dc.date.issued2024
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Akpinar] Kubra Nur, Electrical&Energy, Marmara Üniversitesi, Istanbul, Turkey; [Özgönenel] Okan, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Genç] Seçil, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Gundogdu] Burcu Mantar, Department of Computer Science, Hakkari Üniversitesi, Hakkari, Turkey; [Sarma] Nur, Durham University, Durham, County Durham, United Kingdomen_US
dc.description.abstractIn this paper, a control algorithm is presented which provides a charge/discharge power output with respect to changes in the grid frequency and the ramp-rate limits imposed by the Turkish Electricity Transmission Corporation (TEIAS), whilst managing the Battery Energy Storage System's (BESS) State-of-charge (SOC) to maximize the use of the available energy capacity. A new control algorithm is developed to provide coordinated reactive power support along with grid frequency support, which is one of the grid balancing services provided by grid-tied BESS, to ensure flexibility and reliability in electricity networks. The algorithm is evaluated in a Simulink-based system model, which includes a transmission line model with a bi-directional model predicted controlled voltage source converter connected to the BESS. The model initially detects frequency and voltage fluctuations relative to reference values, and reference currents are then generated via an energy management algorithm based on the magnitude of fluctuations and the battery state of charge. Furthermore, switching signals for the inverter are determined with model predictive control. Simulations are conducted using one-day frequency data and by connecting or disconnect the loads randomly that cause the voltage drop/increases. The voltage fluctuations obtained from the model have demonstrated that both active and reactive power references are provided by the 2MW/1MWh BESS system successfully. © 2024 IEEE.en_US
dc.identifier.doi10.1109/GPECOM61896.2024.10582732
dc.identifier.endpage454en_US
dc.identifier.isbn9798350351088
dc.identifier.scopus2-s2.0-85199068333
dc.identifier.startpage450en_US
dc.identifier.urihttps://doi.org/10.1109/GPECOM61896.2024.10582732
dc.identifier.urihttps://hdl.handle.net/20.500.12712/37257
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof-- 6th IEEE Global Power, Energy and Communication Conference, GPECOM 2024 -- 2024-06-04 through 2024-06-07 -- Budapest -- 200851en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBattery Energy Storage Systemsen_US
dc.subjectDroop Controlen_US
dc.subjectFrequency Supporten_US
dc.subjectModel Predicted Controlen_US
dc.subjectVAR Supporten_US
dc.titleDynamic Active and Reactive Power Control with Utility-Scale Battery Energy Storage Systemsen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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