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author:

Zhan, Siyuan (Zhan, Siyuan.) [1] | Chen, Yutao (Chen, Yutao.) [2] (Scholars:陈宇韬) | Ringwood, John, V (Ringwood, John, V.) [3]

Indexed by:

EI Scopus SCIE

Abstract:

Energy maximising (EM) control of wave energy converters (WECs) is a noncausal problem, where wave prediction information can be used to increase the energy conversion rate significantly. However, current approaches do not consider the prediction error evolution in the control formulation process, leading to potential unpredictable performance degradation. Moreover, most existing real-time WEC control approaches assume linear dynamics, motivated by their simplicity and mild computational cost and, thus, are not effective for real-time control for WECs with nonlinear dynamics. Targeting imperfect wave prediction and nonlinear WEC dynamics, this paper proposes a computationally-efficient nonlinear MPC (NMPC) scheme for WECs with (typically) imperfect wave excitation preview. This is achieved by introducing an input move blocking scheme when formulating and solving the online optimisation problem, i.e., defining finer discretisation grids for the control input and wave prediction at the early stages of the prediction horizon, where the wave prediction is more accurate, and coarser grids at the latter stages of the horizon, to reflect less inaccurate wave prediction information. Numerical simulation results are presented, based on a conceptual nonlinear point-absorber WEC, to verify the efficacy of the proposed NMPC method, in terms of produced energy, computational complexity, and robustness against wave prediction inaccuracy.

Keyword:

Nonlinear model predictive control Reduced computational complexity Wave energy converter Wave prediction

Community:

  • [ 1 ] [Zhan, Siyuan]Trinity Coll Dublin, Dept Mech Mfg & Biomed Engn, Dublin D02 PN40, Ireland
  • [ 2 ] [Chen, Yutao]Fuzhou Univ, Sch Elect Engn & Automat, Fuzhou 350025, Peoples R China
  • [ 3 ] [Zhan, Siyuan]Maynooth Univ, Ctr Ocean Energy Res, Maynooth W23F2H6, Kildare, Ireland
  • [ 4 ] [Ringwood, John, V]Maynooth Univ, Ctr Ocean Energy Res, Maynooth W23F2H6, Kildare, Ireland

Reprint 's Address:

  • 陈宇韬

    [Chen, Yutao]Fuzhou Univ, Sch Elect Engn & Automat, Fuzhou 350025, Peoples R China

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Source :

OCEAN ENGINEERING

ISSN: 0029-8018

Year: 2024

Volume: 319

4 . 6 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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