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An open data repository and a data processing software toolset of an equivalent Nordic grid model matched to historical electricity market data
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (SmarTSLab)ORCID iD: 0000-0002-4125-1055
Statnett SF, Oslo.
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (SmarTSLab)ORCID iD: 0000-0001-8903-9195
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (SmarTSLab)
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2017 (English)In: Data in Brief, ISSN 1529-4188, E-ISSN 1683-1470, Vol. 11, 349-357 p.Article in journal (Refereed) Published
Abstract [en]

This article presents an open data repository, the methodology to generate it and the associated data processing software developed to consolidate an hourly snapshot historical data set for the year 2015 to an equivalent Nordic power grid model (aka Nordic 44), the consolidation was achieved by matching the model׳s physical response w.r.t historical power flow records in the bidding regions of the Nordic grid that are available from the Nordic electricity market agent, Nord Pool.

The model is made available in the form of CIM v14, Modelica and PSS/E (Siemens PTI) files. The Nordic 44 model in Modelica and PSS/E were first presented in the paper titled “iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations” (Vanfretti et al., 2016) [1] for a single snapshot. In the digital repository being made available with the submission of this paper (SmarTSLab_Nordic44 Repository at Github, 2016) [2], a total of 8760 snapshots (for the year 2015) that can be used to initialize and execute dynamic simulations using tools compatible with CIM v14, the Modelica language and the proprietary PSS/E tool are provided. The Python scripts to generate the snapshots (processed data) are also available with all the data in the GitHub repository (SmarTSLab_Nordic44 Repository at Github, 2016) [2].

This Nordic 44 equivalent model was also used in iTesla project (iTesla) [3] to carry out simulations within a dynamic security assessment toolset (iTesla, 2016) [4], and has been further enhanced during the ITEA3 OpenCPS project (iTEA3) [5]. The raw, processed data and output models utilized within the iTesla platform (iTesla, 2016) [4] are also available in the repository. The CIM and Modelica snapshots of the “Nordic 44” model for the year 2015 are available in a Zenodo repository.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 11, 349-357 p.
Keyword [en]
Electrical power systems; Electric power transmission; Smart grid; Power system modeling and simulation; Power system dynamics; Dynamic simulations; Power flow; Common Information Model (CIM); Modelica; Historical market data; Modeling; Simulation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-204928DOI: 10.1016/j.dib.2017.02.021Scopus ID: 2-s2.0-85013906901OAI: oai:DiVA.org:kth-204928DiVA: diva2:1086916
Projects
iTESLAOpenCPS
Note

QC 20170509

Available from: 2017-04-04 Created: 2017-04-04 Last updated: 2017-05-09Bibliographically approved

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Vanfretti, LuigiArava, Venkata Satya NarasinhamLaera, GiuseppeBidadfar, AliRabuzin, TinLavenius, JanBaudette, MaximeGómez, Francisco JoséJakobsen, Sigurd H.
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Electric Power and Energy Systems
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CiteExportLink to record
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