A proposal for reliability evaluation of components on electric power distribution system integrating probabilistic models and fuzzy inference systems

Abstract

The system reliability depends on the reliability of its components itself. Therefore, it is necessary a methodology capable of inferring the state of functionality of these components to establish reliable indices of quality. Allocation models for maintenance and protective devices, among others, have been used in order to improve the quality and availability of services on electric power distribution systems. This paper proposes a methodology for assessing the reliability of distribution system components in an integrated way, using probabilistic models and fuzzy inference systems to infer about the operation probability of each component.

A new approach for reliability-centered maintenance programs in electric power distribution systems based on a multiobjective genetic algorithm

“…The evaluation of equipment reliability takes an important role in this work. The methodology for assessing the reliability consists of two steps [16,17]. In the first step, the historical database of the system under study is analyzed and probabilistic fault models P (t) for each component e ∈ E are obtained using specific stochastic processes [20,21].…”

“…Modeling of fuzzy inference system rules was carried out with the assistance of operators and engineers who had extensive experience in the area. More details about the fuzzy inference system can be found in [16,17]. The reliability index C s (t) in each section s ∈ S in Eq.…”