Reliability Assessment of Distributed Smart Grids Based on Adjustable Resources Double-layer Optimization

In response to the impact of large-scale access to adjustable resources on the reliability of distributed smart grids, a reliability evaluation method of distributed smart grids based on adjustable resources dual layer optimization is proposed in this paper. Due to the uncertainty of wind power, photovoltaic power, and load output, a distributed smart grid operation model with adjustable resources is established using Monte Carlo simulation to generate typical scenarios. With the goal of minimizing the comprehensive operating cost of distributed power grids and the charging and discharging costs of electric vehicles, a double-layer optimization scheduling model is established to achieve comprehensive scheduling and optimization control of various adjustable resources. An improved sequential Monte Carlo method is used to evaluate the reliability of distributed smart grids. The effectiveness of the proposed method is verified through the simulation analysis of the improving the IEEE 33 system. The simulation results show that through reasonable scheduling of adjustable resources, the average power outage time of the system users is reduced by 0.1704 hours, and the reliability of the distribution network is improved by 4.05%.