Performance improvement of grid-connected PV systems using modified Cuk-Landsman converter and hybrid PI controller strategy

The integration of photovoltaic (PV) system into the grid is increasingly important for sustainable energy solutions. This paper presents a novel approach to improve the performance of grid-connected PV by incorporating the modified Cuk-Landsman converter and a hybrid proportional integral (PI) controller strategy. The modified Cuk-Landsman converter is designed to effectively boost the output voltage of the PV panels, ensuring optimal power transfer and increased efficiency. The switching operation of this converter is further enhanced using a Hybrid Firefly and Swallow Swarm optimized-tuned PI controller that combines Firefly and Swallow Swarm techniques to fine-tune the parameters of the PI controller. This optimized PI controller demonstrates superior dynamic response and robustness in managing the power output of the PV system. Besides, to ensure stable battery voltage regulation and effective power management, a bidirectional DC to DC converter is incorporated. This converter facilitates efficient charging and discharging operations, thus maintaining optimal battery performance and extending its lifespan. A Recurrent Neural Network controller is employed to accomplish efficient grid synchronization, assuring accurate and reliable integration of the PV system with grid. The experimental and simulation outcomes confirm the effectiveness of the developed work, showing significant improvements in efficiency (96.8%), and THD (1.02%) when compared to other classical methods.