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Parameter Identification of Photovoltaic Models by Hybrid Adaptive JAYA Algorithm

Author

Listed:
  • Xiaobing Yu

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Xuejing Wu

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Wenguan Luo

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

Abstract

As one of the most promising forms of renewable energy, solar energy is increasingly deployed. The simulation and control of photovoltaic (PV) systems requires identification of their parameters. A Hybrid Adaptive algorithm based on JAYA and Differential Evolution (HAJAYADE) is developed to identify these parameters accurately and reliably. The HAJAYADE algorithm consists of adaptive JAYA, adaptive DE, and the chaotic perturbation method. Two adaptive coefficients are introduced in adaptive JAYA to balance the local and global search. In adaptive DE, the Rank/Best/1 mutation operator is put forward to boost the exploration and maintain the exploitation. The chaotic perturbation method is applied to reinforce the local search further. The HAJAYADE algorithm is employed to address the parameter identification of PV systems through five test cases, and the eight latest meta-heuristic algorithms are its opponents. The mean RMSE values of the HAJAYADE algorithm from five test cases are 9.8602 × 10 −4 , 9.8294 × 10 −4 , 2.4251 × 10 −3 , 1.7298 × 10 −3 , and 1.6601 × 10 −2 . Consequently, HAJAYADE is proven to be an efficient and reliable algorithm and could be an alternative algorithm to identify the parameters of PV systems.

Suggested Citation

  • Xiaobing Yu & Xuejing Wu & Wenguan Luo, 2022. "Parameter Identification of Photovoltaic Models by Hybrid Adaptive JAYA Algorithm," Mathematics, MDPI, vol. 10(2), pages 1-28, January.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:2:p:183-:d:719700
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    References listed on IDEAS

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    Cited by:

    1. Xiang Li & Shuo Zhang & Wei Zhang, 2023. "Applied Computing and Artificial Intelligence," Mathematics, MDPI, vol. 11(10), pages 1-4, May.
    2. Zaiyu Gu & Guojiang Xiong & Xiaofan Fu, 2023. "Parameter Extraction of Solar Photovoltaic Cell and Module Models with Metaheuristic Algorithms: A Review," Sustainability, MDPI, vol. 15(4), pages 1-45, February.

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