Standby safety equipment in nuclear power plants is subjected to regular testing and maintenance, which are an important potential for risk and cost reduction. The method for optimization of schedule of testing and maintenance activities is described. The method integrates simulated annealing as an optimization method and probabilistic safety assessment models and results as the standpoint for determination of the objective function of optimization. The prerequisite for success of the method is modeling of standby safety equipment with probabilistic models considering parameters that have impact to testing and maintenance including time. Application of the method on a real example of probabilistic safety assessment model and its results, which correspond selected nuclear power plant, is discussed. The improvements of the method, which were discovered, when the method was tested by the real example, are identified. Results show that the optimization shows less improvement in optimal schedule versus initial schedule for more reliable components.
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