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Analyzing utility information system architectures using the common information model
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-3014-5609
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
2005 (English)In: 2005 CIGRE/IEEE PES International Symposium, 2005, 274-281 p.Conference paper (Refereed)
Abstract [en]

Properly applied, information technology can go a long way to meet challenges introduced by the changes in power flow introduced by the opening of electricity markets. To provide efficient support to utilities information systems must be well adapted to current and future business needs. For some years the goal of information systems support at utilities have been an integrated suite of IT systems that are well aligned to the business processes. This, to some extent utopian, goal is sometimes referred to as the Integrated Utility.

This paper presents experiences with applying a modelling approach, using established notation and standards that can be used to analyze utility-wide information system architectures. The specific characteristic of the modelling approach presented in this paper is that the modelling is done with the IEC standardised Common Information Model as a basis. The benefits of using the approach is that it provides a straightforward method to create consistent documentation of use of data and functionality across several systems. The output created consist of unambiguous UML compliant models, and standards based functionality listings in which data and functionality duplication and overlap can be identified.

The paper is concluded with a presentation of a case study in which the proposed approach was applied to a real world utility's business processes and systems. The case study shows promising results for the approach, but also underlines the need for farther work.

Place, publisher, year, edition, pages
2005. 274-281 p.
Keyword [en]
common information model, enterprise architecture, information systems, object-orientation, power system maintenance, risk management, unified modeling language
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-5770DOI: 10.1109/CIGRE.2005.1532752ISI: 000235916200034ScopusID: 2-s2.0-33749076478ISBN: 0-7803-9191-8OAI: diva2:10259
CIGRE/IEEE PES International Symposium Location: San Antonio, TX Date: OCT 05-07, 2005
QC 20100614Available from: 2006-05-22 Created: 2006-05-22 Last updated: 2011-12-01Bibliographically approved
In thesis
1. Use of the CIM framework for data management in maintenance of electricity distribution networks
Open this publication in new window or tab >>Use of the CIM framework for data management in maintenance of electricity distribution networks
2006 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

Aging infrastructure and personnel, combined with stricter financial constraints has put maintenance, or more popular Asset Management, at the top of the agenda for most power utilities. At the same time the industry reports that this area is not properly supported by information systems. Today’s power utilities have very comprehensive and complex portfolios of information systems that serve many different purposes. A common problem in such heterogeneous system architectures is data management, e.g. data in the systems do not represent the true status of the equipment in the power grid or several sources of data are contradictory. The research presented in this thesis concerns how this industrial problem can be better understood and approached by novel use of the ontology standardized in the Common Information Model defined in IEC standards 61970 & 61968.

The theoretical framework for the research is that of data management using ontology based frameworks. This notion is not new, but is receiving renewed attention due to emerging technologies, e.g. Service Oriented Architectures, that support implementation of such ontological frameworks. The work presented is empirical in nature and takes its origin in the ontology available in the Common Information Model. The scope of the research is the applicability of the CIM ontology, not as it was intended i.e. in systems integration, but for analysis of business processes, legacy systems and data. The work has involved significant interaction with power distribution utilities in Sweden, in order to validate the framework developed around the CIM ontology. Results from the research have been published continuously, this thesis consists of an introduction and summary and papers describing the main contribution of the work.

The main contribution of the work presented in this thesis is the validation of the proposition to use the CIM ontology as a basis for analysis existing legacy systems. By using the data models defined in the standards and combining them with established modeling techniques we propose a framework for information system management. The framework is appropriate for analyzing data quality problems related to power systems maintenance at power distribution utilities. As part of validating the results, the proposed framework has been applied in a case study involving medium voltage overhead line inspection. In addition to the main contribution, a classification of the state of the practice system support for power system maintenance at utilities has been created. Second, the work includes an analysis and classification of how high performance Wide Area communication technologies can be used to improve power system maintenance including improving data quality.

Place, publisher, year, edition, pages
Stockholm: KTH, 2006
Trita-EE, ISSN 1653-5146 ; 2006:17
Asset Management, Electricity Distribution Networks, Information Systems, Data Quality, Power System Modeling, Enterprise Architecture, Common Information Model, Ontology
National Category
Information Science
urn:nbn:se:kth:diva-3985 (URN)
Public defence
2006-06-07, F3, Lindstedtsvägen 26, Stockholm, 10:00
QC 20100614Available from: 2006-05-22 Created: 2006-05-22 Last updated: 2010-06-14Bibliographically approved

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