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Strategies for implementing IT support for Asset Management at electric utilities
KTH, Superseded Departments, Electrical Systems.ORCID iD: 0000-0003-3014-5609
2004 (English)In: 2004 International Conference on Power System Technology - POWERCON, Vols 1 and 2, 2004, 1049-1054 p.Conference paper, Published paper (Other academic)
Abstract [en]

The last ten to twenty years have seen a steadily growing awareness across industries of the benefits of proper Asset Management, as well as the obvious disadvantages of poor management of assets. This awareness is specifically apparent in the Power Industry, with an aging infrastructure and workforce coupled with economic pressures enforced by re-regulation and the current economic downturn. Obviously, an apparent tool for utilities seeking to improving efficiency and effectiveness of asset management strategies is the implementation of IT-systems in support of the operational processes. To investigate current state of the practice regarding IT systems for Asset Management a survey has been conducted among a number of mid-sized utilities, and the paper presents the preliminary results of this study. The empirical data for the study comes not only from electric utilities, but also from the pulp and paper industry thereby providing excellent opportunities for benchmarking and comparison across industries. Interestingly, the preliminary findings show large differences in both chosen strategies for asset management as well as use of IT systems in support of the operational processes. The survey also shows that the utilities have chosen very different strategies for improving their asset management processes. In addition, the utilities have very differing priorities when it comes to implementation of IT systems for Asset Management. In short, five specific areas providing opportunity for improvement regarding IT system use have been identified. These are: Asset documentation, Resource Management, Production Management, Workflow management and Maintenance planning tools. Of further interest are the differences between how these areas of improvement are approached among the utilities and pulp and paper industry, respectively. The paper provides, based on the data from the survey, an analysis and discussion on strategies for Asset Management as well as IT system implementation based on the identified Areas of Opportunity.

Place, publisher, year, edition, pages
2004. 1049-1054 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-13348ISI: 000228358501010Scopus ID: 2-s2.0-20444433585OAI: oai:DiVA.org:kth-13348DiVA: diva2:324163
Note
QC 20100614Available from: 2010-06-14 Created: 2010-06-14 Last updated: 2010-07-14Bibliographically 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
Series
Trita-EE, ISSN 1653-5146 ; 2006:17
Keyword
Asset Management, Electricity Distribution Networks, Information Systems, Data Quality, Power System Modeling, Enterprise Architecture, Common Information Model, Ontology
National Category
Information Science
Identifiers
urn:nbn:se:kth:diva-3985 (URN)
Public defence
2006-06-07, F3, Lindstedtsvägen 26, Stockholm, 10:00
Opponent
Supervisors
Note
QC 20100614Available from: 2006-05-22 Created: 2006-05-22 Last updated: 2010-06-14Bibliographically approved

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