A Modified Maximum Power Point Tracking Algorithm Using Grey Wolf Optimization for Constant Power Generation of Photovoltaic System

The use of fossil fuels for power plant produces emissions that pollute the environment. It takes environmentally friendly energy, one of which is solar energy. The electrical energy produced by solar panels is influenced by the value of solar irradiation, so that the power generated by solar panels fluctuates. PV solar output is optimized using a modified Maximum Power Point Tracking (MPPT) algorithm using Grey Wolf Optimization (GWO). However, the overvoltage can be caused by the maximum power that the PV generates. This paper proposed the modification of the Maximum Power Point Tracking algorithm using Grey Wolf Optimization for Constant Power Generation of photovoltaic systems. This method prepares MPPT mode and CPG mode to handle solar PV conditions. When the output power of the PV is less than the limit power, the MPPT mode is active. Meanwhile, if the output power of the solar panel exceeds the limit power, the CPG mode is active. Used SEPIC converter for MPPT-CPG control. The simulation results of the proposed control method show that the output voltage response does not exceed the value of 24 V with the largest error value of 1.48% which has been verified using various radiation and reference power.