Bayesian networks utilization for reliability evaluation of power systems

Bayesian networks proved to be a useful tool in power engineering for: availability and reliability studies, power quality analysis, risk evaluation, components monitoring and fault diagnosis. The paper is dedicated to reliability analysis of power systems and authors present details how the method based on Bayes' theorem of conditional probability can be used for reliability evaluation of different architectures of power system nodes and electricity supply chains. The RBD-reliability block diagram, cut-sets or tie-sets methods and event tree or failure tree techniques can be used to construct Bayesian networks based on corresponding real systems.