Optimal Sizing of Solar Off Grid Microgrid Using Modified Firefly Algorithm

This paper presents a novel approach for determining the optimal sizing of solar off-grid microgrids through the utilization of a modified Firefly Algorithm (FA). Off-grid microgrids, powered primarily by solar photovoltaic (PV) systems, offer a sustainable solution for providing electricity to remote areas. However, the optimal design and sizing of such microgrids remain a challenging task due to the dynamic nature of renewable energy sources and varying energy demands. In this study, a Modified Firefly Algorithm (MFA) has been designed especially for optimizing the sizing of solar off-grid microgrids. MFA improves the convergence speed and solution quality, even in a complex multi-objective optimization problem. The effectiveness of the proposed approach is demonstrated through a case study involving the design and optimization of a solar off-grid microgrid. Comparative analysis with standard firefly algorithm (FA) illustrates that Modified Firefly Algorithm (MFA) achieves optimal sizing solutions with improved efficiency and accuracy. The findings of this research contribute to advancing the design and implementation of sustainable energy solutions powered by renewable energy sources.