Single-Phase Grid-Connected Photovoltaic Systems using an ANFIS MPPT Algorithm with Grey-Wolf Optimisation

This research used Grey Wolf Optimisation (GWO)-assisted ANFIS MPPT for single-phase grid-connected renewable energy systems. These energy sources’ carbon emissions have devastated the climate. For over two centuries, fossil fuels have powered the globe. Thus, the demand for pollution-free, sustainable, and plentiful energy production is growing. The DC-DC LUO converter minimises voltage stress and duty cycle, enabling power semiconductor switches to obtain substantial voltage. VSIs feed the converter’s output voltage into the Grid. A maximum power point tracking approach based on an adaptive neuro fuzzy inference system (ANFIS) controls the DC-DC converter to account for the PV’s variable output. Next, a GWO controller fine-tunes MPPT. A Single-Phase power Source Inverter (VSI) converts converter-generated DC power into grid-required AC voltage. LC filters boost inverter output. VSI switching pulses created using dq theory can synchronize the grid with low total harmonic distortion. MATLAB simulates the system’s performance.