Reliability Evaluation of Distribution System Considering Sequential Characteristics of Distributed Generation

Abstract

Abstract. In allusion to the randomness of output power of distributed generation (DG), a reliability evaluation model based on sequential Monte Carlo simulation (SMCS) for distribution system with DG is proposed. Operating states of the distribution system can be sampled by SMCS in chronological order thus the corresponding output power of DG can be generated. The proposed method has been tested on feeder F4 of IEEE-RBTS Bus 6. The results show that reliability evaluation of distribution system considering the uncertainty of output power of DG can be effectively implemented by SMCS.

Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review

“…In [131], a genetic algorithm guided by fuzzy numbers to evaluate the distribution system EENS index has been introduced. In [132], according to the randomness of output power of renewable DGs and the time series characteristic of load, a reliability evaluation model based on sequential Monte Carlo simulation for distribution system has been proposed. In [133] a reliability model has been presented to study the impacts of demand response programs on short-term reliability assessment of wind integrated distribution systems.…”