A Novel Sequential Sampling Algorithm for Reliability Assessment of Microgrids
Due to the polymorphic uncertainties in microgrids (MGs), prohibitive computational burden is produced in reliability assessment.In this work, a novel sequential sampling algorithm (NSSA) compatible with sequential Monte Carlo Magnet (SMC) simulation is developed to overcome the computational burden.First, optimal probability density functions (PDF