Reliability Assessment of Distribution System Using Fuzzy Logic for
  Modelling of Transformer and Line Uncertainties
  Reliability assessment of distribution system, based on historical data and
probabilistic methods, leads to an unreliable estimation of reliability indices
since the data for the distribution components are usually inaccurate or
unavailable. Fuzzy logic is an efficient method to deal with the uncertainty in
reliability inputs. In this paper, the ENS index along with other commonly used
indices in reliability assessment are evaluated for the distribution system
using fuzzy logic. Accordingly, the influential variables on the failure rate
and outage duration time of the distribution components, which are natural or
human-made, are explained using proposed fuzzy membership functions. The
reliability indices are calculated and compared for different cases of the
system operations by simulation on the IEEE RBTS Bus 2. The results of
simulation show how utilities can significantly improve the reliability of
their distribution system by considering the risk of the influential variables.
