Abstract:

Solar power has made incredible progress over the years, and the technology just keeps getting better. The purpose of this research is to propose a novel approach to monitoring the maximum power point from solar panels using fuzzy logic. This approach is integrated with an interleaved flyback micro-inverter architecture.   Despite the fact that it is able to withstand unexpected variations in power and loads, the fuzzy logic technique continues to function effectively even when the weather suddenly changes. The interleaved flyback system is comprised of large number of converter stages that collaborate with one another to control larger amount of current and to ensure that the output voltage is more consistent.  This results in a reduction in the amount of electrical interference and extends the lifespan of the system as whole.     This innovative approach not only makes it simpler to locate the solar system's highest power point in a timely and accurate manner, but it also improves the efficiency with which electricity is converted. Tests conducted in the real world and on computers demonstrate that this technology performs better than older ones. This is due to the fact that it is more efficient, improves power quality, and reduces the amount of ripple effects. This is a significant advancement for systems that make use of renewable energy sources because it generates more than twice as much electricity.   It is possible that these findings will make it possible for solar power systems to adopt more intelligent control methods, which would result in improved functionality for all users