An improved BAS MPPT algorithm in DC–DC converter for grid connected SPVS with PQ enhancement

In this paper, an improved Beetle Antenna Search (BAS) algorithm is developed for Maximal Power Point Tracking (MPPT) in a double-stage three-phase solar grid-integrated system. The behavior of the beetle foraging approach yields maximal power from photovoltaic string with the sustained duty cycle through an optimal BAS MPPT controller. The BAS algorithm succeeds in the purpose of achieving the optimum duty cycle of the DC–DC boost converter for the Solar Photovoltaic System. The intended controller is achieved in step and ramp varying irradiation environment at the specified temperature. The outcome of BAS MPPT has maximal power and better tracking speed with less fluctuation than the P&O controller. Also, the BAS algorithm affords the effortless function of load stabilizing and harmonics decrement in grid performance. The proposed controller has better improvement than the conventional algorithm by reducing training data time, decreasing the sample size, and retaining the selected permissive data. Simulation illustrations prove the quick response time, and acceptable behavior in step and ramp irradiation conditions. Further, an illustration shows the ability to enhance the stability of power in the grid with reduced oscillation and distortion factors. The harmonic distortion of voltage and current is obtained within the control limit of universal standards. The simulated results are validated in MATLAB/Simulink environments.