基于能源互联网优化调度的仿真研究

Simulation research on optimal Scheduling of Energy Internet

能源互联网能够缓解能源危机和全球变暖带来的艰巨挑战,引起了众多学者的关注。随着清洁能源系统的发展,大规模可再生能源正在接入传统配电网,这也给电网的可靠、经济调度带来了新的挑战。文章使用遗传算法寻找最佳的可再生能源、电池存储系统和柴油发电机组合,以最小化生命周期成本,最大限度地提高可再生电力系统的可靠性。

Energy Internet can alleviate the energy crisis and global warming brought by the daunting challenge,has attracted the attention of many scholars.With the development of clean energy systems,large-scale renewable energy sources are being connected to the traditional distribution grid,which also poses new challenges for reliable and economical dispatch of the grid.This paper uses genetic algorithms to find the best combination of renewable energy,battery storage systems,and diesel generators to minimize life cycle costs and maximize the reliability of renewable power systems.