Design and Simulation of an Intelligent Control System for Solar Energy Conversion using MPPT
DOI:
https://doi.org/10.65204/djes.v3i2.640Keywords:
solar energy , conversion intelligent control Systems , design MPPTAbstract
The growing reliance on photovoltaic (PV) systems in decentralized energy generation requires efficient control strategies to ensure maximum energy extraction under varying environmental conditions. One of the major challenges in PV operation is maintaining system efficiency despite fluctuations in temperature and solar irradiance. This study aims to design and simulate an intelligent control system incorporating a maximum power point tracking (MPPT) technique to optimize energy conversion in PV systems. Using MATLAB/Simulink, a dynamic model of the PV system was developed, including MPPT, power conversion, energy storage, and load management components. The simulation evaluates the behavior of the system under different irradiance and temperature levels. Results demonstrate that the proposed control strategy successfully tracks the maximum power point, improving energy output across a range of operating conditions. The findings confirm the importance of integrating adaptive MPPT algorithms and energy storage management for enhancing the overall efficiency of solar energy systems. This work provides a foundation for future development of intelligent PV systems tailored for fluctuating environmental conditions.
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