Genetic algorithm optimisation of the maintenance scheduling of generating units in a power system |
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Authors: | Andrija Volkanovski, Borut Mavko, Tome Bo evski, Anton au evski,Marko epin |
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Affiliation: | aReactor Engineering Division, Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia;bFaculty of Electrical Engineering, Ss. Cyril and Methodius University, 1000 Skopje, Macedonia |
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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. |
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Keywords: | Genetic algorithm Optimisation Maintenance scheduling Safety Loss of load expectation |
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