An improved 0.8Voc$$ {V}_{oc} $$ model‐based global maximum power point tracking algorithm for photovoltaic system

Abstract

AbstractIn this paper, a low‐cost and high‐speed partial shading condition (PSC) detection scheme and global maximum power point tracking (GMPPT) technique are presented. The proposed technique detects the PSC using a low‐cost voltage sensor without setting any threshold parameter. The proposed GMPPT algorithm utilizes the 0.8 model along with the load‐line observation to skip the unwanted interval of – curve. Moreover, in case of dynamic shading, a smart scanning mechanism is used along with the load‐line observation to reduce the voltage iterations which leads to an improvement in tracking speed. The proposed technique is implemented in a Matlab/Simulink environment and compared with the conventional 0.8 method and accurate PSC detection method. The results indicate the following advantages of the proposed algorithm: (1) iteration free and accurate detection of PSC and uniform irradiance condition, (2) enhancement in average tracking time by 67.44% and 69.48%, and (3) improvement in average transient efficiency by 17.36% and 21.25% compared with 0.8 method and accurate PSC detection method. Besides, the experimental results depict that the proposed method enhances the average tracking time by 68.6% and 72.69% and improves the average transient efficiency by 17.62% and 15.06% compared with 0.8 method and accurate PSC detection method, respectively.