Comparison of two methods for evaluating the effects of maintenance on component and system reliability
2004 (English)In: 2004 International Conference on Probabilistic Methods Applied to Power Systems, 2004, p. 307-312Conference paper, Published paper (Refereed)
Abstract [en]
Two recently proposed methods for evaluating the effects of various maintenance policies on the reliability and operating costs of electric power systems are compared. Both programs, the one developed in Canada and the other in Sweden, first generate a priority list of components whose failures have the highest effect on system reliability, then examine the failure rates of the components on the top of the list when various maintenance policies are applied. Finally, reliability indices for the whole system are computed with the critical components represented by the failure rates corresponding to the various policies. This way, maintenance policies can be selected either to achieve the highest system reliability or the lowest operating costs. The approach is illustrated in a numerical example where both the similarities of, and the differences between, the two methods can be recognized. Comments are made on the reasons for the differences.
Place, publisher, year, edition, pages
2004. p. 307-312
Keywords [en]
Asset management, Maintenance, Maintenance policies, Power distribution systems, Power system reliability, Preventive maintenance, Cost effectiveness, Electric power distribution, Numerical methods, Reliability, Sensitivity analysis, Statistical methods, Systems analysis, Electric power systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-157728ISI: 000225735200053Scopus ID: 2-s2.0-14544271334ISBN: 0976131919 (print)OAI: oai:DiVA.org:kth-157728DiVA, id: diva2:771823
Conference
2004 International Conference on Probabilistic Methods Applied to Power Systems, 12 September 2004 through 16 September 2004, Ames, IA, United States
Note
QC 20141215
2014-12-152014-12-122022-06-23Bibliographically approved