This system utilizes an intelligent artificial neural network to extract the maximum power from the PV panel through a boost converter. To convert the DC signal to AC, a single-phase inverter controlled by fuzzy logic techniques is employed, taking into account the load current and reference current.
Despite adoption challenges, the hybrid system’s adaptability and performance make it a promising approach for advancing grid-connected PV applications. Table 3 presents the system parameters used in experimental mode to obtain real-world results.
The voltage of the DC link serves as the input for the inverter, which converts the DC voltage into sinusoidal signals. These sinusoidal signals are observed using an oscilloscope, allowing the results to be extracted via a USB connection.
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