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CIM-Compliant Power System Dynamic Model-to-Model Transformation and Modelica Simulation
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (SmarTSLab)ORCID iD: 0000-0001-8563-7112
Rensselaer Polytechnic Institute.ORCID iD: 0000-0002-4125-1055
Statnett SF, Oslo.
2017 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050Article in journal (Refereed) Published
Abstract [en]

European regulations on information exchange have put new requirements on analysis tools, the main one being the adoption of the IEC Common Information Model (CIM) that may help interoperability across applications. This paper proposes the use of Model-Driven Software Engineering (MDSE) methods to meet these new requirements. Specifically, this paper shows how to apply Model-to-Model (M2M) transformations. The M2M method presented herein allows to work directly with the information and mathematical description and computer implementation of dynamic models, independent from specific analysis tools. The M2M method proposed requires the development of a mapping between CIM/UML and the Modelica language, which allows to derive Modelica models of physical power systems for dynamic simulations. 

Place, publisher, year, edition, pages
IEEE, 2017.
Keyword [en]
CIM, UML, SysML, Information Exchange, Information Modeling, Power Systems Dynamics, Modelica, OpenIPSL
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-221663DOI: 10.1109/TII.2017.2785439OAI: oai:DiVA.org:kth-221663DiVA, id: diva2:1175834
Funder
EU, FP7, Seventh Framework Programme, 76156
Note

QC 20180119

Available from: 2018-01-19 Created: 2018-01-19 Last updated: 2018-01-19Bibliographically approved

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Gómez, Francisco JoséVanfretti, Luigi
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