This research reveals improved power delivery and energy efficiency using a modified quadratic boost converter and CTO-based MPPT in photovoltaic systems.
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.
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Anuja et al. (2025) studied this question.