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Modelling of IEC 61850 message passing for automatic generation of distributed control
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0075-1608
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-9315-9920
2016 (English)In: Annual Conference of the IEEE Industrial Electronics Society, IECON 2015: Yokohama, Japan, 9-12 Nov. 2015, Piscataway, NJ: IEEE Communications Society, 2016, p. 1524-1529, article id 7392317Conference paper, Published paper (Refereed)
Abstract [en]

The future distribution grid known as the smart grid will become more distributed in both infrastructure and control. IEC 61850 and IEC 61499 are two industrial standards addressing the challenges presented by a decentralized infrastructure. This paper contributes to system engineering of smart grid automation by enabling automatic generation of IEC 61499 control systems from IEC 61850 specifications. The areas which this paper fills is proposing a method to formally capture the logical node to logical node message passing which is lacking in the IEC 61850 standard. The proposed method is to represent an IEC 61850 protection scheme as a graph and then integrate it into the IEC 61850 ontology developed previously. The case study used is a sympathetic tripping protection scenario which demonstrates how the process of developing the graph model from the protection scheme and applying ontology rules to automatically generate the resultant IEC 61499 function blocks with meaningful connections between the logical nodes.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2016. p. 1524-1529, article id 7392317
Keywords [en]
IEC 61850, IEC 61499, Smart Grid, Graph, Ontology, eSWRL, MDE
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-35142DOI: 10.1109/IECON.2015.7392317ISI: 000382950701101Scopus ID: 2-s2.0-84973121870Local ID: 98c55831-86c8-4185-930d-6b3ec61eff0aISBN: 978-1-4799-1762-4 (electronic)OAI: oai:DiVA.org:ltu-35142DiVA, id: diva2:1008394
Conference
Annual Conference of the IEEE Industrial Electronics Society : 09/11/2015 - 12/11/2015
Note

Validerad; 2016; Nivå 1; 2016-11-25 (andbra)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2022-09-23Bibliographically approved
In thesis
1. Cyber-Physical Engineering of Distributed Automation Systems in Energy Domain
Open this publication in new window or tab >>Cyber-Physical Engineering of Distributed Automation Systems in Energy Domain
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[sv]
Cyber-Fysikalisk Konstruktion av Distribuerade Automationssystem inom Energidomänen
Abstract [en]

The main focus of this thesis is in the domain of Energy Systems, specifically in the engi-neering of modern Smart Grid (SG) automation systems. The SG has been categorizedas a Cyber-Physical System (CPS), a complex system which exhibits tight integration between the cyber and the physical processes and their interactions in a networked envi-ronment. The complexity and the computation of the automation system are expectedto increase with the promise of a ”smart” electric grid which is capable of self-healing, self-reconfiguration and become more resilient against cyber-attacks. These automation software systems require control strategies which are distributed in execution and requirevery tight integrations and interactions between various modular software and hardware components. As the automation system becomes more software intensive, we hypothesizethat existing design practices of developing the substation automation software system would struggle to cope with the distributed design challenges of the Smart Grid and they could be substantially enhanced by the application of model-driven design, distributed software architectures and semantic models.

Model-driven engineering (MDE) is a software design paradigm that leverages the use of abstraction models at different stages of the design process for engineering complex software systems. MDE is widely used in the software engineering domain and it has proven to be effective when designing and maintaining large-scale software applications.One of the core tenants of MDE is model transformation and it is considered the heartand soul of MDE. The standard modelling language that is used for MDE in software engineering is the Unified Modelling Language (UML), which is a visual language with awide array of tool support. Despite its popularity in the software domain, UML models still have its limitations. In particular, the lack of uniformed semantics between its 13different visual diagrams and the lack of formal notations. In this thesis, we proposethe Cyber-Physical Engineering (CPE) framework, an MDE framework which combines semantic models and MDE based automatic model transformation in order to auto-generate both the automation control system and the simulation plant model from thephysical and functional specifications of CPS systems.

All the scientific papers included in this thesis contributes towards the proposed Cyber-Physical Engineering methodology which includes MDE using semantic models, formal modelling of functional requirements and co-simulation testing of CPS systems.

The contribution of the thesis is fivefold. Firstly, the thesis proposes the CPE frame-work, which is based on the use of semantic web modelling language where logical rea-soning can be applied to the models. The modelling language that is used is the Web Ontology Language (OWL), which is a declarative language with a strong formal foun-dation based on description logic. Secondly, the extended Semantic Web Rule Language(eSWRL) is introduced which defines the constructors that are necessary for model trans-forming OWL ontology models. The eSWRL transformation language is proposed to bean extension to the widely used ontology reasoning language Semantic Web Rule Lan-guage (SWRL) in order to address the limitations of monotonicity which restricts SWRLfrom transforming ontological models. Thirdly, the implementation of the underlying transformation engine of eSWRL in SWI Prolog. Fourthly, the formal modelling of func-tional requirements in ontology is proposed which investigates the viability of using nat-ural language based functional requirements to add control flow to the auto-generated automation control system. Lastly, an automated script based co-simulation environ-ment is shown to demonstrate how black-box validation can be performed to test theauto-generated automation control system.

Finally, the thesis presents the resultant CPE framework for the modelling and genera-tion of distributed CPS automation software that leverages the use of semantic web OWL models. It is aimed to provide a top-down design approach of developing distributed con-trol software for CPS systems along with the simulation model of the physical plant. Inthis thesis, we demonstrate the development process of the CPE framework and throughcase study applications, how a semi-complete distributed automation software system in IEC 61499 can be automatically generated from substation specifications in IEC 61850 and natural language based functional requirements which provide the structure and thecontrol flow of the distributed automation software respectively. An eSWRL toolchainhas been developed to facilitate the various model transformation process of the CPE framework.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2018
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Control Engineering Computer Systems Communication Systems Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-68045 (URN)978-91-7790-076-4 (ISBN)978-91-7790-077-1 (ISBN)
Public defence
2018-05-25, A109, Luleå, 10:00 (English)
Opponent
Supervisors
Available from: 2018-03-26 Created: 2018-03-23 Last updated: 2018-05-17Bibliographically approved

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Yang, Chen-WeiVyatkin, Valeriy

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