Novel Framework for Predicting Fault Tolerance using Stochastic Modelling on Distributed Power Line Transmission

Abstract The usage of renewable power sources are the best alternatives to solve the problems of constantly saturated conventional energy sources in very near future. However, owing to the time-variant properties of renewable resources, it is very challenging task to ensure its resiliency towards utility failures unlike in existing distributed generation system does today. We reviewed the existing system to find that studies towards forecasting of failures are still open-end problems. Therefore, this paper presents a novel framework those targets to incorporate a predictive modelling scheme efficient enough to withstand dynamic interruption by consistently supplying local load. A stochastic modelling is carried out for computing capacity, demands, as well as outage using analytical research methodology. The study outcome was compared with most frequently practiced forecasting technique to find that proposed system offers better power capacity with very less errors for larger customer base.