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Extended UML Modeling for Risk Management of Utility Information System Integration
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems. IEEE, Sweden .ORCID iD: 0000-0003-3014-5609
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems. IEEE, Sweden .
2005 (English)In: 2005 IEEE Power Engineering Society General Meeting, IEEE , 2005, 913-919 p.Conference paper (Refereed)
Abstract [en]

Cost-efficient and effective power system maintenance is dependent on timely access to accurate information about the status of equipment and work orders in planning, execution or in completed status. However, Information Systems at many utilities are not properly configured to support these requirements. Implementation and integration of new and existing systems often requires large effort involving many parts of the utility and still in many cases does not lead to desired gains in efficiency and effectiveness.

This paper proposes a modeling approach using extensions to the Unified Modeling Language (UML) that facilitate modeling of power system maintenance at utilities. The purpose of the approach is to enhance analysis of the Information Systems used in support of power system maintenance. The benefits of using UML have already been shown in the power industry by its use in creating the Common Information Model (CIM). The benefits of using the proposed approach are that it better captures the interorganizational challenges when implementing and integrating Information System for maintenance of power systems thereby reducing the risk of failure.

Place, publisher, year, edition, pages
IEEE , 2005. 913-919 p.
, IEEE Power Engineering Society General Meeting, ISSN 1932-5517
Keyword [en]
common information model, information systems, object-orientation, power system maintenance, risk management, unified modeling language
National Category
Energy Engineering
URN: urn:nbn:se:kth:diva-5769DOI: 10.1109/PES.2005.1489528ISI: 000232799400150ScopusID: 2-s2.0-27144500242ISBN: 0-7803-9156-XISBN: 978-078039156-7OAI: diva2:10258
2005 IEEE Power Engineering Society General Meeting, San Francisco, CA, United States; 12 June 2005 through 16 June 2005

QC 20100614 QC 20111014

Available from: 2006-05-22 Created: 2006-05-22 Last updated: 2014-12-08Bibliographically 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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