DEVELOPMENT OF ALGORITHM TO IDENTIFY THE GLOBAL OPTIMIZED POINT OF SOLAR PHOTOVOLTAICS PANEL UNDER THE CONDITION OF NON-UNIFORM SOLAR ARRAY ON THE SURFACE

Abstract

Maximum Power Point Tracking (MPPT) is a good technique to improve the efficiency of the solar PV system. The solar PV system can operate at the maximum
capacity with MPPT. In practice, it is easy to identify the maximum capacity in the non-linear P-V curve under the condition of continuous irradiance with the popular
MPPT methods. However, it is difficult to track the real MPPs with MPPT, under the condition of partial shading, due to many local maximum power points (LMMPs).
In this paper, a new method is presented to track the global maximum power points (GMPPs) of the solar PV system.
Compared with the popular existing MPPT techniques, the proposed method in this paper has an additional advantage as follows: under the condition of partial
shading, the proposed method will forecast the positions of GMPPs and LMPPs on the P-V curve. The new method can quickly identify the GMPPs and avoid the
energy loss due to blind scanning under the condition of partial shading. The experiment results verify that the proposed method guarantees convergence of the
GMPPs under partial shading conditions.