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Open Nodal Power Flow Model of the Nordic Power System
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0002-8044-9195
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0002-3822-8014
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0003-4089-3379
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2021 (English)In: 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings, Institute of Electrical and Electronics Engineers (IEEE) , 2021, article id 9494886Conference paper, Published paper (Refereed)
Abstract [en]

Lack of openly available power system data due to market regulations or corporate policies hinders the development of models for power system planning and operation studies. This work presents an open source model of the Nordic synchronous area (the Nordic490 model), which can be used for power flow calculations. To reach an accurate modelling of the Nordic transmission grid, the production and consumption time series are disaggregated based on demographics, and the values of certain network parameters and generation characteristics are investigated, by crosschecking various data sources. The resulting model is validated using open market data. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021. article id 9494886
Keywords [en]
Nordic power system, open source model, Power flow disaggregation, Commerce, Electric power system planning, Electric power transmission, Corporate policies, Market regulation, Network parameters, Open-source model, Power flow calculations, Power system planning and operation, Production and consumption, Transmission grids, Electric load flow
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-311070DOI: 10.1109/PowerTech46648.2021.9494886ISI: 000848778000136Scopus ID: 2-s2.0-85112362065OAI: oai:DiVA.org:kth-311070DiVA, id: diva2:1652520
Conference
2021 IEEE Madrid PowerTech, PowerTech 2021, 28 June 2021 through 2 July 2021
Note

QC 20220927

Part of proceedings: ISBN 978-166543597-0

Available from: 2022-04-19 Created: 2022-04-19 Last updated: 2022-09-27Bibliographically approved

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Kumar, ArvindKouveliotis Lysikatos, IasonasNycander, ElisMarin, ManuelAmelin, MikaelSöder, Lennart

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Kumar, ArvindKouveliotis Lysikatos, IasonasNycander, ElisMarin, ManuelAmelin, MikaelSöder, Lennart
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Computational Science and Technology (CST)Electric Power and Energy Systems
Other Electrical Engineering, Electronic Engineering, Information EngineeringEnergy Systems

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