Implementation of Modified Gravitational Search Algorithm for Solar Panel Parameters Extraction

This paper proposes a non-linear problem for the extraction of parameters in a solar photovoltaic system. As many of the optimization algorithms used so far does not work at the low irradiance level a novel approach of parameter extraction using a gravitational search algorithm is presented. At different irradiance level, different parameters of various PV panels are evaluated. The results and critical evaluation of MGSA optimization approach are then compared with genetic and gravitational search algorithms. The simulation MATLAB output confirms the suitability of the MGSA for parameter extraction of solar PV panels.