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Abstract
The solar photovoltaic (PV) system penetrates the global renewable energy source due to the direct energy conversion process and environmentally friendly nature. The irradiance mismatch undergoes major difficulties in the PV converters, and this algorithm has been performed under Maximum Power Point Tracking (MPPT). To solve MPPT problems, conventional soft computing methods are frequently employed. In this study, Multiple Input Single Output (MISO) converters are used to compare the Perturbation & Observation and Artificial Neural Network methods. The converter is set up as a single-inductor buck converter with numerous input ports connected to two PV panels. The output voltage and current from the solar cell are sent into the buck converter. In order to attain maximum power for various irradiances, the reference voltage and current are sent to the MPPT controller, and the duty cycle created is supplied to the MISO buck converter. The proposed system is established in MATLAB/ Simulink to evaluate the effectiveness of the system.
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