Maximum power point tracking using an adaptive perturbation and observation algorithm for a grid-connected solar photovoltaic system

Abstract

This paper proposes an adaptive perturbation and observation (P&O) algorithm for maximum power point tracking (MPPT) control strategy of a grid-connected solar photovoltaic (PV) system under varying atmospheric conditions. This strategy is necessary in order to extract maximum power output from a solar PV panel. The adaptive P&O algorithm is proposed to utilize a variable perturbation step size which depends on power changes. The obtained simulation results are compared with those using the conventional P&O algorithm, which show the effectiveness of the proposed MPPT algorithm in the MPPT of a grid-connected solar PV system.