Fuzzy Control Algorithm in IoT-Based PV System for Dual Power Applications

The potential of clean energy sources to lessen environmental consequences and cut down on dependability on fossil fuels has contributed to their rise in popularity. Photovoltaic (PV) systems are often utilized to generate power since they are environmentally friendly and reliable. When various power outputs are needed, dual-power PV systems that offer both direct current (DC) and alternating current (AC) power are suitable. However, it is difficult to build an effective and dependable system of control for such systems. A fuzzy control approach for an interleaved boost converter (IBC) in a dual-power PV system is presented. Internet of Things (IoT) technology allows for better control and monitoring of the suggested system. It is shown that a fuzzy logic controller (FLC) may enhance the system's productivity, stability, and resilience by comparing the fuzzy controller's performance to those of conventional proportional integral derivative (PID) and proportional-integral (PI) controllers. By improved stability and performance in dynamic environments, results indicate that fuzzy logic may be a viable alternative to conventional controllers. Several types of renewable energy systems may benefit from the described method since it allows for dual-power applications with enhanced control and monitoring.