An Improved Hybrid Global Maximum Power Point Tracking Approach for PV Systems based on Partial Shading Detection

Abstract

Extraction of maximum power from the PV panels, especially during partial shadowing conditions (PSC), is one of the most pressing issues in the operation of a photovoltaic (PV) system. While the conventional techniques are not able to capture the global maximum power (GMPP). Consequently, several optimization algorithms to track the GMPP have been presented. However, optimization methods are unable to distinguish uniform shading from PSCs. This paper presents a novel hybrid MPPT technique to address this drawback. An ANFIS method is proposed with a new partial shading detection approach to determine the maximum power if the system is subject to the uniform shading conditions (USCs) with the irradiance sensor being removed to reduce the cost. While a novel hybrid rat swarm optimization technique (MRSO) will implement only if partial shading occurs to avoid an unnecessary scan of the whole P-V curve during the USCs, which decreases the tracking time for USCs. The proposed approach was developed using MATLAB/SIMULINK, with a 0.05 seconds of sampling time. The simulation results revealed that the proposed method was successfully implemented, with an average tracking time of 0.375 s for uniform and PSCs with high efficiency. The effectiveness of the suggested approach has then been evaluated in light of more recent, closely similar approaches in this area.