Simple algorithms RaFSA estimation method based on IEC61850

Reliability estimation of electricity generation, transmission and distribution plays an important role based on assessment of past performance and future predictions. There are two traditional basic approaches to estimate the reliability and probability of failure, one based on analytical calculation and the other based on stochastic simulation. This paper discusses about the estimation of system reliability and the probability of failure using a novel estimation method, Reliability and probability of failure simple algorithms (RaFSA). These tasks are exceeding by estimating the reliability and probability of failure existing in one protection intelligent electronic device (IED), general protection function and the breaker failure protection (BFP) function. The RaFSA estimations are implemented over a practical small transmission substation T1-1. Different practical configurations are considered. Stochastic simulation approach is the way that RaFSA estimations are implemented with. RaFSA provides specific benefits such as: easy to implement, handle huge amount of data, different tools and parameters can be used, ability to analyze different input data without major modifications in the underlying process.