Distribution System Reliability Assessment Using Sequential Monte Carlo Simulation

This article describes a simulated model of analysis of the reliability of the distribution system, based on Sequential Monte Carlo simulation. Several reliability indices of typical power systems were analyzed in terms of its expected values, such as SAIDI, SAIFI, ENS, CAIDI, CAIFI. Also a major event day duration analysis according to IEEE Voluntary Standard 1366 was made and discussed. The system used to present the methodology consists of four substations and twenty-four feeders, protective and reconfiguration equipment, such as fuses, reclosers, tie switches, knives and automatic switches and circuit breakers were considered for fault isolation or network reconfiguration. This system covers an area of 237.33 km ² of a state in southern Brazil with approximately 335 MW load, serving more than 116,000 consumers. A 500 year/scenario simulation was performed to provide the results, considering an hourly step. The results for this system were presented, compared to analytical assessment methodology and discussed in terms of their average values, reliability confidence interval and execution time.