부산대학교 도서관

With the widespread application of renewable energy sources such as solar and wind energy, optimizing their economic viability had become a crucial research area. This study employed a two-tier hierarchical model, aimed at investigating complex microgrid systems to achieve optimal economic operation. The Moth-Flame optimization algorithm, inspired by moths’ behavior in finding light sources, was applied, primarily used for solving multi-dimensional optimization problems. According to research findings, the economic comparison between the optimal allocation scheme and the basic scheme revealed a reduction in unit generation cost from ${\$}$0.96 to ${\$}$0.75 and a decrease in the total net cost from ${\$}$168.0K to ${\$}$130.1K. The experimental results validated the effectiveness of this method, offering scientific guidance for the economic and efficient operation of microgrids, with the potential to have a positive impact on the field of renewable energy.