Effective MPPT Technique Featuring Class Topper Optimization for Modified Quadratic Boost Converter-Driven Renewable System

The sustainable growth of energy solutions depends significantly on the integration of renewable ‎sources into grid-connected systems. This paper presents a grid-tied Photovoltaic (PV) system ‎that incorporates a Modified Quadratic Boost Converter (MQBC) and a Class Topper ‎Optimized (CTO) Maximum Power Point Tracking (MPPT) algorithm to enhance energy ‎harvesting and ensure efficient power delivery. The converter is used to increase the voltage ‎under varying environmental conditions, such as sunlight and temperature changes. The CTO-based MPPT algorithm generates precise control signals based on real-time PV voltage and ‎current, optimizing power extraction. These signals are processed by a dsPIC30F4011 ‎microcontroller. Additionally, the system uses Direct Quadrature-Zero(dq0)-Three phase(abc) ‎transformation theory to convert grid currents into d-q components, enabling accurate active ‎and reactive power control through PI controllers. Real-time power calculations ensure ‎dynamic regulation of power flow, aiding grid synchronization and optimizing energy ‎efficiency. The proposed system is implemented using MATLAB, achieving 95% efficiency ‎and minimizing power losses, ensuring reliable power delivery. This advanced control strategy ‎offers a comprehensive and intelligent approach to improving the performance and stability of ‎grid-connected PV systems‎.