• DocumentCode
    558914
  • Title

    Design of a modified grey model MGM(1,1) for real-time control of wave energy converters

  • Author

    Dinh Quang Truong ; Ahn, Kyoung Kwan ; Yoon, Jong Il ; Kim Cheon

  • Author_Institution
    Sch. of Mech. & Automotive Eng., Univ. of Ulsan, Ulsan, South Korea
  • fYear
    2011
  • fDate
    26-29 Oct. 2011
  • Firstpage
    1606
  • Lastpage
    1611
  • Abstract
    This paper presents a simple and precise wave prediction method for applications to real-time control of wave energy converters (WECs). The proposed prediction method is based on a so-called modified grey model with first order - one variable - MGM(1,1). This model was developed from the conventional grey model - GM(1,1) in which the background series used to establish grey differential equation was designed to be obtained by an exact solution, consequently, improving the model accuracy. The model can predict well online any wave parameter at any future time-series point while only requiring a few of its historical data. In order to validate the applicability of the proposed approach, ocean wave data during several years at different offshore areas in South Korea was observed for the investigation. A comparison between prediction results of using the suggested grey model, the traditional grey model and a typical autoregressive (AR) model has been also carried out to evaluate the prediction performances.
  • Keywords
    autoregressive processes; differential equations; grey systems; ocean waves; power generation control; wave power generation; autoregressive model; grey differential equation; modified grey model MGM(1,1); ocean wave; real-time control; wave energy converter; wave prediction method; Accuracy; Adaptation models; Computational modeling; Data models; Forecasting; Mathematical model; Predictive models; Ocean wave; background value; grey model; prediction; wave energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2011 11th International Conference on
  • Conference_Location
    Gyeonggi-do
  • ISSN
    2093-7121
  • Print_ISBN
    978-1-4577-0835-0
  • Type

    conf

  • Filename
    6106250