Reliability Assessment of Distribution System Using Fuzzy Logic for Modelling of Transformer and Line Uncertainties
This work addresses reliability estimation for utilities in power distribution, but it is incremental as it applies an existing method (fuzzy logic) to a specific domain problem.
The paper tackled the problem of unreliable reliability assessment in distribution systems due to inaccurate data by using fuzzy logic to model uncertainties in transformers and lines, resulting in improved reliability indices through simulation on IEEE RBTS Bus 2.
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.