• DocumentCode
    1760515
  • Title

    Numerical Optimal Control of Wave Energy Converters

  • Author

    Bacelli, Giorgio ; Ringwood, John V.

  • Author_Institution
    Water Power Technol. Dept., Sandia Nat. Labs., Albuquerque, NM, USA
  • Volume
    6
  • Issue
    2
  • fYear
    2015
  • fDate
    42095
  • Firstpage
    294
  • Lastpage
    302
  • Abstract
    Energy maximizing control for wave energy converters (WECs) is a nonstandard optimal control problem. While the constrained optimal control problem for WECs has been addressed by model-predictive control strategies, such strategies need to employ cost function modifications due to convexity problems and the algorithms are computationally complex, making real-time implementation difficult. The recently developed family of direct transcription methods offer a promising alternative, since they are computationally efficient and a convex problem results. Moreover, constraints on both the device displacement and velocity, and power take off force, are easily incorporated. Both single-body and multibody device models can be used, as well as arrays of single-body or multibody devices.
  • Keywords
    optimal control; power generation control; predictive control; wave power plants; WEC; convexity problems; cost function modifications; device displacement; device velocity; direct transcription methods; model-predictive control strategies; numerical optimal control; power take off force; wave energy converters; Equations; Force; Fourier series; Mathematical model; Method of moments; Optimal control; Vectors; Control systems; direct transcription; wave energy;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2014.2371536
  • Filename
    6987295