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Parameter Estimation of Photovoltaic Models via Cuckoo Search

Author

Listed:
  • Jieming Ma
  • T. O. Ting
  • Ka Lok Man
  • Nan Zhang
  • Sheng-Uei Guan
  • Prudence W. H. Wong

Abstract

Since conventional methods are incapable of estimating the parameters of Photovoltaic (PV) models with high accuracy, bioinspired algorithms have attracted significant attention in the last decade. Cuckoo Search (CS) is invented based on the inspiration of brood parasitic behavior of some cuckoo species in combination with the Lévy flight behavior. In this paper, a CS‐based parameter estimation method is proposed to extract the parameters of single‐diode models for commercial PV generators. Simulation results and experimental data show that the CS algorithm is capable of obtaining all the parameters with extremely high accuracy, depicted by a low Root‐Mean‐Squared‐Error (RMSE) value. The proposed method outperforms other algorithms applied in this study.

Suggested Citation

  • Jieming Ma & T. O. Ting & Ka Lok Man & Nan Zhang & Sheng-Uei Guan & Prudence W. H. Wong, 2013. "Parameter Estimation of Photovoltaic Models via Cuckoo Search," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    • Handle: RePEc:wly:jnljam:v:2013:y:2013:i:1:n:362619
    DOI: 10.1155/2013/362619
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    References listed on IDEAS

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    2. Amrouche, Badia & Guessoum, Abderrezak & Belhamel, Maiouf, 2012. "A simple behavioural model for solar module electric characteristics based on the first order system step response for MPPT study and comparison," Applied Energy, Elsevier, vol. 91(1), pages 395-404.
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