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Ontology Driven Approach to Generate Distributed Automation Control from Substation Automation Design
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0075-1608
Department of Computer Science, Penza State University.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-9315-9920
2017 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 13, no 2, 668-679 p., 7762918Article in journal (Refereed) Published
Abstract [en]

This paper proposes a method for the automatic generation of smart-grid automation systems software from specifications that includes physical system layout and domain-specific functional “recipes.” The generated software has component organization and implements a decentralized approach to smart grid control, which reduces complexity of automation systems design and modification. The proposed method relies on synergies of two industrial standards IEC 61850 and IEC 61499, which are used to represent a part of the specification and the resulting software model, respectively. Then, the specification model is created in a form of ontology and the generation is based on ontology transformation. The proposed method requires an extension to the Semantic Web Rule Language (SWRL) to support the change of an ontology axioms set for the purpose of ontology transformation. The proposed transformation language, called extended SWRL, is introduced and illustrated in use. The result shows the viability of eSWRL as an ontology transformation language when demonstrated in a power distribution case study system.

Place, publisher, year, edition, pages
2017. Vol. 13, no 2, 668-679 p., 7762918
Keyword [en]
Cyber Physical Systems, eSWRL, Ontology, IEC 61850, IEC 61499, Substation Automation, Distributed Control, Smart Grid
National Category
Computer Science
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-62732DOI: 10.1109/TII.2016.2634095ISI: 000399961500026Scopus ID: 2-s2.0-85018161667OAI: oai:DiVA.org:ltu-62732DiVA: diva2:1085138
Note

Validerad; 2017; Nivå 2; 2017-04-25 (rokbeg)

Available from: 2017-03-28 Created: 2017-03-28 Last updated: 2017-09-13Bibliographically approved

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Publisher's full textScopushttp://ieeexplore.ieee.org/document/7762918/

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