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Impact of health indicators on maintenance management and operation of power systems
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. Comillas Pontifical University, Spain.ORCID iD: 0000-0002-0396-3326
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.ORCID iD: 0000-0002-2964-7233
2017 (English)In: Journal of Risk and Reliability, ISSN 1748-006X, E-ISSN 1748-0078, Vol. 231, no 6, 716-731 p.Article in journal (Refereed) Published
Abstract [en]

This article proposes a maintenance management and risk reduction approach. The approach introduces two reliability-based indexes called condition indicator and risk indicator. Condition indicator is a unit-less parameter that comes directly from monitored condition of a component and converts the categorical condition into a numerical value. Risk indicator in megawatt represents the risk imposed by the health of a component onto the system. To demonstrate application of the indicators, they are implemented through an hourly network constraint unit commitment problem and applied in a test system where the analysis of impact of condition of the generators to the operation is the new contribution. The results demonstrate how addition of such indicators will impact the operation of the grid and maintenance scheduling. The results show the benefit for the system operator as the overall failure risk in the system is taken into account, and the benefit for the asset owner as the direct impact of the maintenance to be carried out can be investigated. Two of the main outcomes of the maintenance management and risk reduction approach are as follows: asset owners can analyze their maintenance strategies and evaluate their impacts in the maintenance scheduling, and system operators can operate the grid with higher security and lower risk of failure.

Place, publisher, year, edition, pages
Sage Publications, 2017. Vol. 231, no 6, 716-731 p.
Keyword [en]
Maintenance management, condition monitoring, health indicator, risk reduction, power system operation
National Category
Reliability and Maintenance
Identifiers
URN: urn:nbn:se:kth:diva-219326DOI: 10.1177/1748006X17731901ISI: 000415837100009Scopus ID: 2-s2.0-85034593758OAI: oai:DiVA.org:kth-219326DiVA: diva2:1162643
Note

QC 20171205

Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2017-12-05Bibliographically approved

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Mazidi, PeymanShayesteh, EbrahimHilber, Patrik

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