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Component reliability importance indices for maintenance optimization of electrical networks
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.ORCID iD: 0000-0002-2964-7233
2005 (English)Licentiate thesis, comprehensive summary (Other scientific)
Abstract [en]

Maximum asset performance is one of the major goals for electric power system managers. To reach this goal minimal life cycle cost and maintenance optimization become crucial while meeting demands from customers and regulators. One of the fundamental objectives is therefore to relate maintenance and reliability in an efficiently and effectively way, which is the aim of several maintenance methods such as the Reliability Centered Maintenance method (RCM). Furthermore, this necessitates the determination of the optimal balance between preventive and corrective maintenance to obtain the lowest total cost.

This thesis proposes methods for defining the importance of individual components in a network with respect to total interruption cost. This is a first step in obtaining an optimal maintenance solution. Since the methods consider several customer nodes simultaneously, they are especially suitable for network structures that serve many purposes/customers e.g. transmission and distribution networks with more than one load point. The major results are three component reliability importance indices, which are applied in two case studies. The first case study is based on a network in the Stockholm area. The second case study is performed for one overhead line system in the rural parts of Kristinehamn. The application studies demonstrate that the indices are possible to implement for existing electrical networks and that they can be used for maintenance prioritization. Consequently these indices constitute a first step in the overall objective of a maintenance optimization method.

The computations of the indices are performed both with analytical and simulation based techniques. Furthermore, the indices can be used to calculate the component contribution to the total system interruption cost. The approach developed for the importance indices can be utilized in any multi-state network that can be measured with one performance indicator.

Place, publisher, year, edition, pages
Stockholm: KTH , 2005. , viii, 64 p.
Series
Trita-ETS, ISSN 1650-674X ; 2005:09
Keyword [en]
Electrical power technology, Reliability Importance Index, Maintenance Optimization, Asset Management, Customer Interruption Cost, Reliability Centred Maintenance (RCM), Reliability Centered Asset Management (RCAM), Monte Carlo Simulation
Keyword [sv]
Elkraftteknik
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-274ISBN: 91-7178-055-6 (print)OAI: oai:DiVA.org:kth-274DiVA: diva2:8450
Presentation
2005-05-25, H1, Teknikringen 33, Stockholm, 11:30
Opponent
Supervisors
Note
QC 20101130Available from: 2005-06-07 Created: 2005-06-07 Last updated: 2010-11-30Bibliographically approved
List of papers
1. Monetary Importance of Component Reliability in Electrical Networks for Maintenance Optimization
Open this publication in new window or tab >>Monetary Importance of Component Reliability in Electrical Networks for Maintenance Optimization
2004 (English)In: 8th International Conference on Probabilistic Methods Applied to Power Systems: Iowa State Univ, Ames, IA, SEP 12-16, 2004, 2004, 150-155 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a method for defining the importance of individual components in a network with respect to total interruption cost. Since the method considers several customer nodes simultaneously, it is especially suitable for network structures that serve many purposes/customers e.g. transmission and distribution networks with more than one load point. The major result is an importance index, I-H, for every component. This index can be used for the evaluation of maintenance actions. Furthermore, the importance index is used to calculate the component contribution to the total system interruption cost. Finally, the goal to reach an optimal maintenance plan is outlined. The methodology is presented together with an application study for an electrical distribution system in-the Stockholm area.

Keyword
maintenance; optimization; reliability; interruption cost; importance index; reliability-centered maintenance (RCM); reliability-centered asset management (RCAM)
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-8163 (URN)000225735200026 ()2-s2.0-14544273157 (Scopus ID)0-9761319-1-9 (ISBN)
Note

QC 20100810

Available from: 2008-04-03 Created: 2008-04-03 Last updated: 2017-06-14Bibliographically approved
2. Optimizing the replacement of overhead lines in rural distribution systems with respect to reliability and customer value
Open this publication in new window or tab >>Optimizing the replacement of overhead lines in rural distribution systems with respect to reliability and customer value
2005 (English)In: Eighteenth International Conference and Exhibition on Electricity Distribution, CIRED 2005, 2005, 127-131 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we present a method for establishing the value of a network's components from a reliability worth perspective. The method can be applied to a general distribution system i.e. both for radial and meshed network systems. Moreover, this paper shows results from an application study for a rural network system that is dominated by overhead lines. The purpose of the study was to establish the value of a secondary feeding point. Further, the method is used to establish the best replacement strategy for the concerned overhead lines.

Series
IEE Conference Publication, 2005-11034
Keyword
Electric power distribution; Reliability; Rural areas; Rural distribution systems; Rural network systems
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-8164 (URN)2-s2.0-28644436819 (Scopus ID)
Note
QC 20100810Available from: 2008-04-03 Created: 2008-04-03 Last updated: 2010-11-30Bibliographically approved
3. A Method for Extracting Reliability Importance Indices from Reliability Simulations of Electrical Networks
Open this publication in new window or tab >>A Method for Extracting Reliability Importance Indices from Reliability Simulations of Electrical Networks
2005 (English)In: 15th Power Systems Computation Conference, PSCC 2005, Power Systems Computation Conference ( PSCC ) , 2005Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a reliability importance index that is possible to extract from existing reliability simulations at a low additional computational cost. The index utilizes the concept of reliability worth as a measure of system reliability in order to establish the importance of components in systems with several load points. Since the method is based on simulations, it is suitable for large networks with a high level of detail. The index can be used as decision support for asset management, for example where maintenance actions will become most beneficial. The index is evaluated against the background of a number of analytically calculated indices. Furthermore, the index is applied to a network in the Stockholm area. The conclusion of the paper is that the proposed simulation based importance index provides a means of improving analysis of electrical network reliability.

Place, publisher, year, edition, pages
Power Systems Computation Conference ( PSCC ), 2005
Keyword
reliability importance index, Monte Carlo simulation, electrical network, customer interruption cost, reliability worth
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-8165 (URN)2-s2.0-84982318178 (Scopus ID)
Conference
15th Power Systems Computation Conference, PSCC 2005, Liege, Belgium, 22 August 2005 through 26 August 2005
Note

QC 20161121

Available from: 2008-04-03 Created: 2008-04-03 Last updated: 2016-11-21Bibliographically approved

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