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Reliability assessment of distribution system, based on historical data andprobabilistic methods, leads to an unreliable estimation of reliability indicessince the data for the distribution components are usually inaccurate orunavailable. Fuzzy logic is an efficient method to deal with the uncertainty inreliability inputs. In this paper, the ENS index along with other commonly usedindices in reliability assessment are evaluated for the distribution systemusing fuzzy logic. Accordingly, the influential variables on the failure rateand outage duration time of the distribution components, which are natural orhuman-made, are explained using proposed fuzzy membership functions. Thereliability indices are calculated and compared for different cases of thesystem operations by simulation on the IEEE RBTS Bus 2. The results ofsimulation show how utilities can significantly improve the reliability oftheir distribution system by considering the risk of the influential variables.

Reliability Assessment of Distribution System Using Fuzzy Logic for Modelling of Transformer and Line Uncertainties