Hybrid MPPT based on MPC and PSO for PV systems subject to partial shading
Photovoltaic Systems, DC-DC Converters, MPPT, PSO, MPC-MPPT
This work proposes a hybrid maximum power point tracker (GMPPT) supplied in photovoltaic (PV) systems and subjected to partial shading. The proposed technique is based on predictive model control (MPC) and on the particle swarm optimization (PSO) technique. The PSO algorithm is known to be a slow performing global optimization method for the MPPT problem. To make tracking faster, use it in conjunction with the MPC-MPPT technique, which is faster but can get stuck in places. The method proposes to use the PSO technique to reach the region close to the maximum global power point and source in this region uses the MPC-MPPT technique to reach the maximum power point. The proposed method is tested in a DC-DC SEPIC and a DC-DC Flyback converter, both connected to a photovoltaic panel subjected to partial shading conditions. The results obtained show the effectiveness of the proposed technique to accelerate the tracking capability of the maximum global power point submitted to partial shading.