To address the electricity consumption challenges in remote regions beyond the reach of power grid

a novel off-grid microgrid system integrating wind and solar energy with flywheel storage technology is introduced.Research is conducted on the optimal capacity configuration of distributed power sources

and power output models are developed for wind turbines

photovoltaic arrays

energy storage flywheels

and diesel generators.With economic and reliability indicators as objective functions

and environmental protection indicators as constraints

a capacity optimization simulation for the microgrid system is conducted. By employing the improved NSGA-II algorithm

a multi-objective bi-level coordinated optimization of the microgrid system is performed

resulting in a Pareto optimal solution through multi-objective optimization. The TOPSIS method is utilized for decision-making

ultimately identifying the optimal solution tailored for the microgrid system. The data and conclusions obtained from this study have reference value for engineering applications in related fields.