This paper presents a novel hybrid approach based on fuzzy logic controller and gravity search algorithm to track the global maximum power point of a network-connected photovoltaic system in partially shaded conditions. One of the most critical issues in this context, which has been neglected in previous studies, is the consideration of speed and accuracy at the same time. Hence, this paper uses a boost converter with a fuzzy logic controller to increase the model's accuracy. Also, the speed of the method is increased by utilizing the gravity search algorithm. Finally, maximum power is subjected to a power network via a three-phase multi-level inverter. Simulation results show the proposed method's performance and accuracy in tracking the PV system's maximum power point with high-speed responses in partial and variable shadow conditions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.