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Multiobjective Maintenance Policy for a Distribution System an Application Study
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.ORCID iD: 0000-0002-2964-7233
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.ORCID iD: 0000-0003-4763-9429
2008 (English)In: 10th International Conference On Probabilistic Methods Applied To Power Systems, 2008, 229-234 p.Conference paper, Published paper (Refereed)
Abstract [en]

Maintenance managers of today's electrical distribution systems are faced with the problem of where their maintenance resources will be utilized best. In previous work the authors have developed a method for maintenance policy optimization for electrical networks. This paper presents results from an application study performed for a distribution system, including both urban and rural parts, for this method. A basic optimization is performed in order to find the right level of maintenance for the involved components with respect to customer interruption costs and maintenance budget. For the rural parts of the system the conclusion is that intensified tree trimmings is the most beneficial maintenance activity. While for the urban parts the maintenance should be focused towards customer intense areas. Furthermore, it becomes clear, especially for the urban part of the system, that the operation mode of the network becomes important. The method presented helps the managers to prioritize their maintenance to the places where it will result in the best system performance.

Place, publisher, year, edition, pages
2008. 229-234 p.
Keyword [en]
Asset management, Component reliability importance, Maintenance, Multiobjective optimization, Power distribution systems
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-8169ISI: 000271680900034ISBN: 978-1-934325-21-6 (print)OAI: oai:DiVA.org:kth-8169DiVA: diva2:13420
Note
QC 20100810Available from: 2008-04-03 Created: 2008-04-03 Last updated: 2011-03-01Bibliographically approved
In thesis
1. Maintenance optimization for power distribution systems
Open this publication in new window or tab >>Maintenance optimization for power distribution systems
2008 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

Maximum asset performance is one of the major goals for electric power distribution system operators (DSOs). 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 efficient and effective way. Furthermore, this necessitates the determination of the optimal balance between pre¬ventive and corrective maintenance, which is the main problem addressed in the thesis.

The balance between preventive and corrective maintenance is approached as a multiobjective optimization problem, with the customer interruption costs on one hand and the maintenance budget of the DSO on the other. Solutions are obtained with meta-heuristics, developed for the specific problem, as well as with an Evolutionary Particle Swarm Optimization algorithm. The methods deliver a Pareto border, a set of several solutions, which the operator can choose between, depending on preferences. The optimization is built on component reliability importance indices, developed specifically for power systems. One vital aspect of the indices is that they work with several supply and load points simultaneously, addressing the multistate-reliability of power systems. For the computation of the indices both analytical and simulation based techniques are used. The indices constitute the connection between component reliability performance and system performance and so enable the maintenance optimization.

The developed methods have been tested and improved in two case studies, based on real systems and data, proving the methods’ usefulness and showing that they are ready to be applied to power distribution systems. It is in addition noted that the methods could, with some modifications, be applied to other types of infrastructures. However, in order to perform the optimization, a reliability model of the studied power system is required, as well as estimates on effects of maintenance actions (changes in failure rate) and their related costs. Given this, a generally decreased level of total maintenance cost and a better system reliability performance can be given to the DSO and customers respectively. This is achieved by focusing the preventive maintenance to components with a high potential for improvement from system perspective.

Place, publisher, year, edition, pages
Stockholm: KTH, 2008. vii, 56 p.
Series
Trita-EE, ISSN 1653-5146 ; 2008:012
Keyword
Reliability Importance Index, Multiobjective Optimization, Maintenance Optimization, Asset Management, Customer Interruption Cost, Reliability Centred Maintenance (RCM), Reliability Centered Asset Management (RCAM), Monte Carlo Simulation, Evolutionary Particle Swarm Optimization.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-4686 (URN)978-91-628-7464-3 (ISBN)
Public defence
2008-04-18, D3, D, Lindstedsv. 5, Stockholm, 13:15
Opponent
Supervisors
Note
QC 20100810Available from: 2008-04-03 Created: 2008-04-03 Last updated: 2010-08-10Bibliographically approved

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