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CIM-2-mod: A CIM to modelica mapping and model-2-model transformation engine
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems. (SmarTSLab)ORCID iD: 0000-0001-8563-7112
Electric, Computer and Systems Engineering, Rensselear Polytechnique Institute, Troy, NY, USA. (ALSETLab)ORCID iD: 0000-0002-4125-1055
Instituto Costaricense de Electricidad (ICE), San José, Costa Rica.
Statnett SF, Oslo, Norway.
2019 (English)In: SoftwareX, ISSN 2352-7110, Vol. 9, p. 161-167Article in journal (Refereed) Published
Abstract [en]

New requirement on power systems analysis tools consider information exchange for both steady-state and system dynamics information. New European regulations on information exchange power system dynamic simulations now require coordinating TSOs operations under different scenarios, some of which require to assess the dynamic behavior of power systems under a vast array of contingencies. As a mean to comply with these regulations and to advance the state-of-the-art, this work describes the software architecture of a Model-To-Model (M2M) transformation tool to create power system dynamic models using Modelica components by linking it to data from the Common Information Model (CIM). This software architecture is conceived to combine the CIM standard language with the Modelica standardized language, and to provide a Free/LibreOpen Source Software (FLOSS) CIM-compliant unambiguous power system modeling solution considering both steady-state and dynamic model representations of the electrical grid.

Place, publisher, year, edition, pages
2019. Vol. 9, p. 161-167
Keywords [en]
Common Information Model, CIM, Model transformation, Information modeling, Modelica, OpenIPSL, Electrical Power Grid, Power System Modeling, Power System Dynamics, Power System Simulation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering; Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-244471DOI: 10.1016/j.softx.2019.01.013ISI: 000466818600025Scopus ID: 2-s2.0-85061445655OAI: oai:DiVA.org:kth-244471DiVA, id: diva2:1290946
Note

QC 20190301

Available from: 2019-02-21 Created: 2019-02-21 Last updated: 2019-05-29Bibliographically approved

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Gómez, Francisco JoséVanfretti, Luigi

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