Optimized PI-Controlled High-Gain Reboost-Luo Converter for Efficient PV Grid Integration
Keywords:
Renewable Energy, Solar Energy Conversion, Maximum Power Point Tracking (MPPT), Adaptive Neuro-Fuzzy Inference System (ANFIS), Jellyfish Optimization, Re-Boost Luo Converte, Voltage Source Inverter (VSI)Abstract
The rising demand for renewable energy has led to advancements in solar energy systems. This paper develops an optimized solar energy conversion system for efficient power extraction and grid integration. A solar panel generates DC power, boosted using a high-gain modified Re-Boost Luo converter. A Voltage Source Inverter (VSI) controlled by Pulse Width Modulation (PWM) converts DC to three-phase AC for grid connection. Maximum Power Point Tracking (MPPT) is achieved using a Jellyfish-optimized Adaptive Neuro-Fuzzy Inference System (ANFIS). An LC filter smooths the inverter output before supplying it to the grid. A Proportional-Integral (PI) controller regulates active and reactive power, ensuring stability and responsiveness. This approach enhances efficiency and supports sustainable energy solutions. The system is modeled and simulated using MATLAB 2021a Simulink.
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