An accurate partial shading detection and global maximum power point tracking technique based on image processing

Authors

  • Ahmed Kamal EL-DIn Ryad Ain Shams University, Faculty of Engineering
  • Ahmed M Atallah Faculty of Engineering, Ain Shams University, Cairo, Egypt
  • Abdelhalim Zekry Faculty of Engineering, Ain Shams University, Cairo, Egypt

Keywords:

Global Maximum Power Point Tracking, Partial Shading, Partial Shading Detection, Artificial Vision, Camera Response Function

Abstract

This paper aims to detect the presence of partial shading conditions on the PV array and to estimate the vicinity of the global maximum power point for shaded PV modules based solely on the captured image of the PV modules. Detecting the presence of partial shading is based on comparing the average image pixels intensity for each PV module in order to find any mismatch in the incident irradiance.  The incident irradiance level on each PV module is estimated based on the camera response function with the help of a reference module. Furthermore, after estimating the irradiance intensity on the modules, the captured image for each PV module was used to detect the shaded area percentage. Detect the presence of partial shading conditions and estimating the position of the Global Maximum Power Point under partial shading was achieved with simple and cheap procedure yet effective at various shading pattern regardless the environmental circumstances

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Published

2022-07-14