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Volume 43 Issue 12
Dec.  2021
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Zhongqiang WU, Bilian CAO, Lincheng HOU, Xiaoyu HU, Boyan MA. Maximum Power Point Tracking for Photovoltaic System Based on Improved Multi-Verse Optimization[J]. Journal of Electronics & Information Technology, 2021, 43(12): 3735-3742. doi: 10.11999/JEIT200599
Citation: Zhongqiang WU, Bilian CAO, Lincheng HOU, Xiaoyu HU, Boyan MA. Maximum Power Point Tracking for Photovoltaic System Based on Improved Multi-Verse Optimization[J]. Journal of Electronics & Information Technology, 2021, 43(12): 3735-3742. doi: 10.11999/JEIT200599

Maximum Power Point Tracking for Photovoltaic System Based on Improved Multi-Verse Optimization

doi: 10.11999/JEIT200599
Funds:  The Natural Science Foundation of Hebei Province (F2020203014)
  • Received Date: 2020-07-21
  • Rev Recd Date: 2021-04-02
  • Available Online: 2021-06-11
  • Publish Date: 2021-12-21
  • The power output curve of the photovoltaic array exhibits multi-peak characteristics under partial shading conditions, and the traditional control algorithm can not track the maximum power point continuously and accurately. A method for tracking the global maximum power point based on the Improved Multi-Verse Optimization (IMVO) algorithm is proposed. Spiral update and adaptive compression factor are introduced to enhance the algorithm's global search capability. Travelling distance rate update method is changed, and the convergence speed of algorithm is accelerated, so the optimization ability of the algorithm is improved. The simulation results show that the improved Multi-Verse Optimization (MVO) algorithm can track the maximum power point continuously and stably under the three conditions of uniform irradiance, partial shading and variable irradiance, and the convergence time and convergence accuracy are greatly improved, thus the feasibility of the algorithm is verified in the maximum power point tracking control.
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