When using Monte-Carlo simulation approaches for the calculation of reliability indices of electric power systems the probability distributions of the system reliability indices can easily be obtained by simply sampling random values from the input probability distributions assumed for the component reliability parameters. As input data different types of probability distributions of component parameters can be assumed. However, neither the type of the actual probability distribution curves, nor the curve parameters are known as they occur in reality due to the limited number of samples provided by operational statistics. The first part of the paper presents a comparison between different probability distribution approaches and the probability distributions derived from the enhanced VDEW statistics of incidents by using best fit test methods. The second part of the paper presents the results of reliability calculations of a sample system for different input probability distribution functions of the component outage durations.
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