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Maximum Power Point Tracking of Photovoltaic Module Arrays Based on a Modified Gray Wolf Optimization Algorithm

Author

Listed:
  • Kuo-Hua Huang

    (Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

  • Kuei-Hsiang Chao

    (Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

  • Ying-Piao Kuo

    (Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

  • Hong-Han Chen

    (Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan)

Abstract

In this study, a modified gray wolf optimization algorithm (GWOA) was proposed to facilitate the maximum power point tracking (MPPT) of photovoltaic module arrays (PMAs). To increase the voltage conversion ratio and achieve a voltage boost through reduced duty cycles, a high-voltage step-up converter with a coupled inductor was used to replace the conventional energy storage inductor. To achieve global MPPT, the iteration parameters of the proposed GWOA were adjusted according to the slope of the PMA power–voltage (P–V) curve. According to the simulation results, the modified GWOA is more effective in MPPT than the perturbation and observation algorithm and conventional GWOA when multiple peaks appear in the P–V curve of a shaded PMA. In addition, the modified GWOA exhibits an improved tracking speed response and steady-state response.

Suggested Citation

  • Kuo-Hua Huang & Kuei-Hsiang Chao & Ying-Piao Kuo & Hong-Han Chen, 2023. "Maximum Power Point Tracking of Photovoltaic Module Arrays Based on a Modified Gray Wolf Optimization Algorithm," Energies, MDPI, vol. 16(11), pages 1-21, May.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4329-:d:1155829
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    Citations

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    Cited by:

    1. Burhan U Din Abdullah & Suman Lata & Shiva Pujan Jaiswal & Vikas Singh Bhadoria & Georgios Fotis & Athanasios Santas & Lambros Ekonomou, 2023. "A Hybrid Artificial Ecosystem Optimizer and Incremental-Conductance Maximum-Power-Point-Tracking-Controlled Grid-Connected Photovoltaic System," Energies, MDPI, vol. 16(14), pages 1-19, July.
    2. Tao Wang & Cunhao Lin & Kuo Zheng & Wei Zhao & Xinglu Wang, 2023. "Research on Grid-Connected Control Strategy of Photovoltaic (PV) Energy Storage Based on Constant Power Operation," Energies, MDPI, vol. 16(24), pages 1-21, December.

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