• Optoelectronics Letters
  • Vol. 20, Issue 1, 28 (2024)
Jiuchao ZHANG, Guangjun REN, Yuming XUE*, Dan XIA..., Jiangchao WANG and Zhaoshuo and HU|Show fewer author(s)
Author Affiliations
  • Institute of New Energy Intelligence Equipment, School of Integrated Circuit Science and Engineering, Tianjin Uni-versity of Technology, Tianjin 300384, China
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    DOI: 10.1007/s11801-024-2171-0 Cite this Article
    ZHANG Jiuchao, REN Guangjun, XUE Yuming, XIA Dan, WANG Jiangchao, and HU Zhaoshuo. Improvement of maximum power point tracking in pho-tovoltaic arrays in different environments using hybrid algorithms[J]. Optoelectronics Letters, 2024, 20(1): 28 Copy Citation Text show less

    Abstract

    When the photovoltaic (PV) system is generating PV power, the partial shading (PS) condition will cause multiple peaks in the power-voltage curve, and changes in light intensity and ambient temperature will cause the curve to shift. Traditional maximum power point tracking (MPPT) methods, such as the incremental conductance (INC) method, have the problem of being trapped in the local optimal solution. Biomimetic optimization algorithms, such as particle swarm optimization (PSO), have problems with oscillation and low tracking efficiency near the global maximum power point (GMPP). As a result, a hybrid algorithm CS-INC based on the cuckoo search (CS) algorithm and the per-turb and observe (P&O) approach is proposed in this study. The light intensity remains constant, the light intensity changes in steps, and the partial shade scenario are simulated. Simulation results show that the MPPT improves accu-racy, speed, and stability.
    ZHANG Jiuchao, REN Guangjun, XUE Yuming, XIA Dan, WANG Jiangchao, and HU Zhaoshuo. Improvement of maximum power point tracking in pho-tovoltaic arrays in different environments using hybrid algorithms[J]. Optoelectronics Letters, 2024, 20(1): 28
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