Modified Queen-Bee Algorithm-Based Fuzzy Logic Control for Real-Time Robust Load Matching for a Solar PV System

The maximum power point (MPP) of a solar photovoltaic (PV) module fluctuates over the whole day with the variation of weather conditions. In order to track it precisely and harvest it efficiently, an appropriate value of load has to be matched. A prerequisite to successful load matching is the knowledge of available real-time maximum power. For real-time maximum power transfer and robust load matching, a control strategy that combines the use of a dc-dc boost converter, fuzzy logic control, and a modified queen bee genetic algorithm has been proposed. Simulation results show the promise of the approach. It is believed that this research will lead to improvement in the efficiency of PV modules considering real-time weather conditions and intelligent control for robust load matching.