 Genetic algorithm optimisation of the maintenance scheduling of generating units in a power systemAndrija Volkanovski, Borut Mavko, Boševski, Tome, Čauševski, Anton and Marko Čepin Reliability Engineering and System Safety, 2008, vol. 93, issue 6, 779-789 Abstract: A new method for optimisation of the maintenance scheduling of generating units in a power system is developed. Maintenance is scheduled to minimise the risk through minimisation of the yearly value of the loss of load expectation (LOLE) taken as a measure of the power system reliability. The proposed method uses genetic algorithm to obtain the best solution resulting in a minimal value of the annual LOLE value for the power system in the analysed period. The operational constraints for generating units are included in the method. The proposed algorithm was tested on a Macedonian power system and the obtained results were compared with the results received from the approximate methodology. The results show the improved reliability of a power system with the maintenance schedule obtained by the new method compared to the results from the approximate methodology. Keywords: Genetic algorithm; Optimisation; Maintenance scheduling; Safety; Loss of load expectation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:93:y:2008:i:6:p:779-789 DOI: 10.1016/j.ress.2007.03.027 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
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