IDEAS home Printed from https://ideas.repec.org/a/wly/jnljam/v2013y2013i1n362619.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2013/362619
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/362619?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jnljam:v:2013:y:2013:i:1:n:362619. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1155/4058 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.