DocumentCode
493200
Title
Multiobjective Maintenance Policy for a Distribution System an Application Study
Author
Hilber, P. ; Bertling, L.
Author_Institution
Sch. of Electr. Eng., KTH (R. Inst. of Technol.), Stockholm
fYear
2008
fDate
25-29 May 2008
Firstpage
1
Lastpage
6
Abstract
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.
Keywords
maintenance engineering; power distribution reliability; beneficial maintenance activity; customer interruption costs; electrical distribution systems; electrical networks; intensified tree trimmings; multiobjective maintenance policy optimization; reliability model; Availability; Cost function; Energy management; Optimization methods; Power distribution; Power system management; Power system reliability; Preventive maintenance; Resource management; System performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Probabilistic Methods Applied to Power Systems, 2008. PMAPS '08. Proceedings of the 10th International Conference on
Conference_Location
Rincon
Print_ISBN
978-1-9343-2521-6
Electronic_ISBN
978-1-9343-2540-7
Type
conf
Filename
4912638
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