Abstract
In this paper, we propose a simple multi-component stochastic system model based on Petri nets for the simulation and evaluation of complex maintenance policies of the Belgian power system. The main objective of this modeling approach is to develop a decision-aiding tool in order to improve the maintenance decisions in terms of their consequences on the total maintenance costs and on the global performance of the power system. The model takes into account the different constraints influencing the maintenance policy. A single component, presenting two failure modes and periodically inspected and maintained according to its degradation level, is investigated first, before studying a system corresponding to a simplified feeder. A Petri net-based Monte Carlo simulation of these two cases is performed in order to estimate the costs entailed by several possible maintenance policies.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
E. Borgonovo, M. Marseguerra and E. Zio. A Monte Carlo Methodological Approach to Plant Availability Modelling with Maintenance, Aging and Obsolescence, Reliability Engineering and System Safety 2000; 67:61–73
J. Barata, C.G. Soares, M. Marseguerra and E. Zio. Simulation Modelling of Repairable Multi-Component Deteriorating Systems for ‘On Condition’ Maintenance Optimisation. Reliability Engineering and System Safety 2002; 76:255–264
E. Châtelet, C. Bérenguer and O. Jellouli. Performance Assessment of Complex Maintenance Policies Using Stochastic Petri Nets. European Conference on System Dependability and Safety, ESREL2002; λμ13:532-537
R. Billinton and W. Li. Reliability Assessment of Electric Power Systems Using Monte Carlo Methods, Plenum Press, New York, 1994
W. G. Schneeweiss. Petri Nets for Reliability Modeling (in the Fields of Engineering Safety and Dependability). LiLoLe-Verlag GmbH, Hagen, 1999
MOCA-RP: MOnte-CArlo basé sur les Réseaux de Petri. Software developed for TOTAL by GFI-Consulting, Version 10.08,2003
R. Billinton and R. N. Allan. Reliability Evaluation of Power Systems, Plenum Press, New York, 1996
M. Ben-Daya, S. O. Duffuaa and A. Raouf. Maintenance, Modeling and Optimization, Kluwer Academic Publishers, Boston, 2000
G. J. Anders. Probability Concepts in Electric Power Systems, John Wiley & Sons, New York, 1990
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag London
About this paper
Cite this paper
Fouathia, O., Maun, JC., Labeau, PE., Wiot, D. (2004). The MicMaq Project: Minimum cost — Maximum quality for the Maintenance Optimization of the Belgian Power System. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_498
Download citation
DOI: https://doi.org/10.1007/978-0-85729-410-4_498
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1057-6
Online ISBN: 978-0-85729-410-4
eBook Packages: Springer Book Archive