PV System with binary grey wolf optimization based MPPT for partial shading condition

This paper compares the methods utilized in MPPT under partial shading conditions (PSC) and identifies the algorithm with the best tracking speed, decreased oscillation, shorter settling time, and last but not the least, efficiency. The two dynamic aspects of a PV system are cell temperature and irradiance. Maximum power point tracking (MPPT) techniques are used to collect maximum power from PV modules during system events. There are several conventional/traditional MPPT systems that monitor the MPP under uniform conditions, however they fail to follow the maximum power from a PV module in multiple peak situations under partial shading conditions. Comparing the performance of the proposed BGWO to the performance of existing MPPT approaches, such as GWO and PSO, reveals its performance. Therefore, it has been determined that the MPPT algorithm for managing the tracking speed must be enhanced and made more efficient.