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izvor podataka: crosbi

Modelling and Evaluating Capability of Battery Storage Systems to Provide Extreme Event Services to the DSO: Case Study of Croatia (CROSBI ID 721874)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Barać, Bojana ; Kostelac, Matija ; Pavić, Ivan ; Capuder, Tomislav ; Grašo, Joško ; Marušić, Anton ; Koledić, Tomislav ; Barišin, Josipa Modelling and Evaluating Capability of Battery Storage Systems to Provide Extreme Event Services to the DSO: Case Study of Croatia // 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON). Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 34-39 doi: 10.1109/MELECON53508.2022.9842864

Podaci o odgovornosti

Barać, Bojana ; Kostelac, Matija ; Pavić, Ivan ; Capuder, Tomislav ; Grašo, Joško ; Marušić, Anton ; Koledić, Tomislav ; Barišin, Josipa

engleski

Modelling and Evaluating Capability of Battery Storage Systems to Provide Extreme Event Services to the DSO: Case Study of Croatia

The City of Zagreb in Croatia and its surroundings have experienced two strong earthquakes within nine months of 2020. Putting this in the context of the increased workload of healthcare facilities due to Covid-19, the distribution system operator (DSO) is encouraged to look for unconventional solutions such as integrating the battery energy storage system (BESS) to supply healthcare facilities during network fault conditions or other extreme network events. The BESS size and location are determined by optimization model, while the control system of the BESS converter, based on the virtual synchronous machine (VSM) concept, is define to test BESS ability to supply critical consumers in the off-grid mode. The models are tested and verified on several real world situations in Zagreb MV distribution network. Future developments and scenarios are also simulated to verify the robustness of the proposed investment.

battery energy storage system (BESS) ; dynamic model ; dynamic stability ; islanded operation ; microgrid system ; optimization model

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Podaci o prilogu

34-39.

2022.

objavljeno

10.1109/MELECON53508.2022.9842864

Podaci o matičnoj publikaciji

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)

Institute of Electrical and Electronics Engineers (IEEE)

978-1-6654-4281-7

2158-8481

Podaci o skupu

21st IEEE Mediterranean Electrotechnical Conference (IEEE MELECON 2022)

predavanje

14.06.2022-16.06.2022

Palermo, Italija

Povezanost rada

Elektrotehnika

Poveznice