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Categorization and Review of Failure Rate Factors Used in Power Systems
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering. (RCAM)ORCID iD: 0000-0003-1254-1843
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering. (RCAM)ORCID iD: 0000-0002-2964-7233
2014 (English)In: 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014 - Conference Proceedings, 2014, IEEE Press, 2014Conference paper, Published paper (Refereed)
Abstract [en]

To evaluate the reliability of power systems, good estimates of the failure rates of the included components are needed. Better predictions can be performed if relevant factors that affect the failure rates are used, and an increasing number of models that include different types of factors have been presented recently. This paper proposes a categorization of failure rate factors into seven categories, based on the type of information for the factors. The categorization can be used to map future studies in the context of similar work.  Furthermore, the paper presents a review of a number of publications that uses different factors to model the failure rate of different power system components. The failure rate factors used in the reviewed publications are categorized into the proposed seven categories and a comprehensive summary table is included. The used models and methods to estimate the failure rate in the reviewed publications are also noted in the summary table.

Place, publisher, year, edition, pages
IEEE Press, 2014.
Keyword [en]
failure analysis, failure rate, failure rate factors, failure statistics, power system reliability
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-154069DOI: 10.1109/PMAPS.2014.6960634ISI: 000358734100057Scopus ID: 2-s2.0-84915750358ISBN: 978-1-4799-3561-1 (print)OAI: oai:DiVA.org:kth-154069DiVA: diva2:755258
Conference
13th International Conference on Probabilistic Methods Applied to Power Systems, Durham, 7-10 July 2014
Projects
Reliability decision support based on existing data
Note

This work was sponsored by SweGRIDS.

QC 20141030

Available from: 2014-10-14 Created: 2014-10-13 Last updated: 2015-09-11Bibliographically approved

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Ekstedt, Niklas

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