Comparison of two methods for evaluating the effects of maintenance on component and system reliability

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

[1]  Lina Bertling,et al.  Reliability-centred maintenance for electric power distribution systems , 2002 .

[2]  R. Allan A reliability-centred asset maintenance method for assessing the impact of maintenance in power distribution systems , 2005 .

[3]  J. Endrenyi,et al.  Reliability Evaluation of Transmission Systems with Switching After Faults Approximations and a Computer Program , 1973 .

[4]  George J. Anders,et al.  Probabilistic evaluation of the effect of maintenance on reliability. An application [to power systems] , 1998 .

[5]  George J. Anders,et al.  Cost related reliability measures for power system equipment , 2000 .

[6]  Roy Billinton,et al.  A reliability test system for educational purposes-basic distribution system data and results , 1991 .

[7]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[8]  G. A. Hamoud,et al.  Assessment of customer supply reliability in performance-based contracts , 2003 .

[9]  L. Bertling,et al.  A reliability-centered asset maintenance method for assessing the impact of maintenance in power distribution systems , 2005, IEEE Transactions on Power Systems.

[10]  Yan Ou,et al.  Monte Carlo simulation-based customer service reliability assessment , 1999 .

[11]  George J. Anders,et al.  A new look at component maintenance practices and their effect on customer, station and system reliability , 2006 .

[12]  Roy Billinton,et al.  Pseudo-chronological simulation for composite reliability analysis with time varying loads , 2000 .

[13]  J. Endrenyi,et al.  The Present Status of Maintenance Strategies and the Impact of Maintenance on Reliability , 2001, IEEE Power Engineering Review.