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Modified Whale Optimization Algorithm for Solar Cell and PV Module Parameter Identification

Author

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  • Xiaojia Ye
  • Wei Liu
  • Hong Li
  • Mingjing Wang
  • Chen Chi
  • Guoxi Liang
  • Huiling Chen
  • Hailong Huang
  • Ramon Costa-Castelló

Abstract

The whale optimization algorithm (WOA) is a powerful swarm intelligence method which has been widely used in various fields such as parameter identification of solar cells and PV modules. In order to better balance the exploration and exploitation of WOA, we propose a novel modified WOA (MWOA) in which both the mutation strategy based on Levy flight and a local search mechanism of pattern search are introduced. On the one hand, Levy flight can make the algorithm get rid of the local optimum and avoid stagnation; thus, it is able to prevent the algorithm from losing diversity and to increase the global search capability. On the other hand, pattern search, a direct search method, has not only high convergence rate but also good stability, which can boost the local optimization ability of the WOA. Therefore, the combination of these two mechanisms can greatly improve the capability of WOA to obtain the best solution. In addition, MWOA may be employed to estimate parameters in single diode model (SDM), double diode model (DDM), and PV modules and to identify unknown parameters of two different types of PV modules under diverse light irradiance and temperature conditions. The analytical results demonstrate the validity and the practicality of MWOA for estimating parameters of solar cells and PV modules.

Suggested Citation

  • Xiaojia Ye & Wei Liu & Hong Li & Mingjing Wang & Chen Chi & Guoxi Liang & Huiling Chen & Hailong Huang & Ramon Costa-Castelló, 2021. "Modified Whale Optimization Algorithm for Solar Cell and PV Module Parameter Identification," Complexity, Hindawi, vol. 2021, pages 1-23, February.
  • Handle: RePEc:hin:complx:8878686
    DOI: 10.1155/2021/8878686
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    Cited by:

    1. Papul Changmai & Sunil Deka & Shashank Kumar & Thanikanti Sudhakar Babu & Belqasem Aljafari & Benedetto Nastasi, 2022. "A Critical Review on the Estimation Techniques of the Solar PV Cell’s Unknown Parameters," Energies, MDPI, vol. 15(19), pages 1-20, September.
    2. Ruiheng Li & Yi Di & Qiankun Zuo & Hao Tian & Lu Gan, 2023. "Enhanced Whale Optimization Algorithm for Improved Transient Electromagnetic Inversion in the Presence of Induced Polarization Effects," Mathematics, MDPI, vol. 11(19), pages 1-20, October.
    3. Zi‐yu Chen & Fei Xiao & Xiao‐kang Wang & Min‐hui Deng & Jian‐qiang Wang & Jun‐Bo Li, 2022. "Stochastic configuration network based on improved whale optimization algorithm for nonstationary time series prediction," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(7), pages 1458-1482, November.

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