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Enhancing Photovoltaic System Performance Using PSO for Maximum Power Point Tracking and DC-Bus Voltage Regulation in Grid-Connected PV Systems
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Author(s): Socrates S. (Velammal Institute of Technology, Chennai, India), K. K. Manivannan (KCG College of Technology, Chennai, India), A. Krishnakumari (Hindustan Institute of Technology and Science, Padur, India), M. Saravanan (Hindustan Institute of Technology and Science, Padur, India), M. Shanmugapriya (KCG College of Technology, Karapakkam, India)and M. D. Raj Kamal (Velammal Institute of Technology, Chennai, India)
Copyright: 2024
Pages: 24
Source title:
Metaheuristics Algorithm and Optimization of Engineering and Complex Systems
Source Author(s)/Editor(s): Thanigaivelan R. (AKT Memorial College of Engineering and Technology, India), Suchithra M. (SRM Institute of Science and Technology, India), Kaliappan S. (KCG College of Technology, India)and Mothilal T. (KCG College of Technology, India)
DOI: 10.4018/979-8-3693-3314-3.ch017
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Abstract
This research presents an integrated approach to enhance the performance of grid-connected photovoltaic (PV) systems by combining sensor-based orientation with the practical swarm optimization (PSO) algorithm for maximum power point tracking (MPPT) and a proportional-integral (PI) controller for DC voltage regulation. Solar positioning and infrared sensors provide real-time data, guiding the dynamic movement of the solar panel. The PSO algorithm optimizes motor movements for efficient MPPT, ensuring the panel aligns with the optimal sun position throughout the day. Simultaneously, the PI controller regulates the DC bus voltage, contributing to system stability and grid compliance. Experimental results reveal increased power output, demonstrating the synergistic impact of the integrated system. This approach not only maximizes energy capture but also improves system reliability.
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