Pseudo-sequential Monte Carlo simulation for distribution network analysis with distributed energy resources

The high penetration of distributed energy re sources (DER) in future Active Distribution Network (ADN) will bring great challenges to distribution network analysis. This paper presents a new methodology based on pseudo-sequential Monte Carlo (PSMC) simulation for the reliability assessment of distribution network with wind farms, photovoltaic generators and batteries. The proposed approach retains the computational efficiency of non-sequential Monte Carlo simulation and the ac curacy of sequential Monte Carlo simulation for it considers the chronological aspects of load, DER and batteries when evaluating failure sequences. Micro-grid operation, DER use strategy and optimal load shedding strategy are also considered in this method. Case study on the line 4 of IEEE RBTS-BUS6 is presented to prove the practicability of the method. The effects of DER integration on the distribution network reliability indices are also discussed.