RESEARCH ON IMPROVED VARIABLE STEP PERTURBATION ALGORITHM FOR POWER PREDICTION IN PHOTOVOLTAIC MPPT

Wang Wei; Dai Chaohua; Cheng Weirong; Guo Ai

doi:10.19912/j.0254-0096.tynxb.2020-0424

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (2) : 217-225. DOI: 10.19912/j.0254-0096.tynxb.2020-0424

RESEARCH ON IMPROVED VARIABLE STEP PERTURBATION ALGORITHM FOR POWER PREDICTION IN PHOTOVOLTAIC MPPT

Wang Wei, Dai Chaohua, Cheng Weirong, Guo Ai

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Abstract

In view of the application and research status of tracking technology of maximum power point trackers （MPPT） in photovoltaic power generation system, an improved variable step perturbation method for power prediction is proposed. Firstly, this paper analyzes the phenomenon that the power prediction method can misjudge the estimated power due to the large power estimation deviation, when the sun light intensity change is nonlinear within a sampling period. In order to reduce the power oscillation loss and the deviation between the predicted power value and the actual power value, a three-point sampling function model is established based on Newton interpolation method. Secondly, in the process of determining the variable step size, the dynamic factor of sun light intensity change is considered. On this basis, a method of determining the variable step size is proposed by introducing the correction coefficient of sun light intensity change. Finally, a photovoltaic system model and onboard photovoltaic experimental platform is built for MPPT tracking simulation. The results show that the modified variable step perturbation method for power prediction can track MPPT more stably and but also improve the problems of misjudgment and failure.

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solar cells / photovoltaic power generation / maximum power point track（MPPT） / power prediction / variable step perturbation method

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Wang Wei, Dai Chaohua, Cheng Weirong, Guo Ai. RESEARCH ON IMPROVED VARIABLE STEP PERTURBATION ALGORITHM FOR POWER PREDICTION IN PHOTOVOLTAIC MPPT[J]. Acta Energiae Solaris Sinica. 2022, 43(2): 217-225 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0424

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