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Optimizing ocean-wave energy extraction of a dual coaxial-cylinder WEC using nonlinear model predictive control

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  • Son, Daewoong
  • Yeung, Ronald W.

Abstract

Active control based on nonlinear model predictive control (NMPC) methodology is applied to a candidate but realistic dual coaxial-cylinder wave-energy extractor system with the objective of maximizing energy capture over a range of incident ocean-wave conditions. The extractor consists of an outer cylinder (floater) moving relative to a tension-tethered inner cylinder, driving a permanent-magnet linear generator (PMLG) to acquire power take-off (PTO). The floater dynamics is solved in the time domain with the NMPC to constrain maximum floater motion and simultaneously incorporating the PMLG damping capability. The numerical model of the coupled floater and PTO dynamics is formulated in the state-space representation. The mechanical to electrical conversion efficiency of the PMLG, which was experimentally determined as a function of its power-extraction damping, is considered in the numerical simulation. The NMPC process yields a time-varying profile for the generator damping as the control strategy. Simulation results indicate strongly time-dependent and discontinuous generator-damping requirements for both regular and irregular incident-wave scenarios. However, the NMPC-controlled system significantly outperforms a passive-control, constant-damping system by exhibiting higher peak values of energy-extraction and a broader capturing bandwidth, thus confirming the feasibility and success of the control strategy.

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  • Son, Daewoong & Yeung, Ronald W., 2017. "Optimizing ocean-wave energy extraction of a dual coaxial-cylinder WEC using nonlinear model predictive control," Applied Energy, Elsevier, vol. 187(C), pages 746-757.
    • Handle: RePEc:eee:appene:v:187:y:2017:i:c:p:746-757
    DOI: 10.1016/j.apenergy.2016.11.068
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    References listed on IDEAS

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    1. Veigas, M. & López, M. & Iglesias, G., 2014. "Assessing the optimal location for a shoreline wave energy converter," Applied Energy, Elsevier, vol. 132(C), pages 404-411.
    2. Reguero, B.G. & Losada, I.J. & Méndez, F.J., 2015. "A global wave power resource and its seasonal, interannual and long-term variability," Applied Energy, Elsevier, vol. 148(C), pages 366-380.
    3. Son, Daewoong & Belissen, Valentin & Yeung, Ronald W., 2016. "Performance validation and optimization of a dual coaxial-cylinder ocean-wave energy extractor," Renewable Energy, Elsevier, vol. 92(C), pages 192-201.
    4. Li, Guang & Belmont, Mike R., 2014. "Model predictive control of sea wave energy converters – Part II: The case of an array of devices," Renewable Energy, Elsevier, vol. 68(C), pages 540-549.
    5. López-Ruiz, Alejandro & Bergillos, Rafael J. & Ortega-Sánchez, Miguel, 2016. "The importance of wave climate forecasting on the decision-making process for nearshore wave energy exploitation," Applied Energy, Elsevier, vol. 182(C), pages 191-203.
    6. Jama, M.A. & Noura, H. & Wahyudie, A. & Assi, A., 2015. "Enhancing the performance of heaving wave energy converters using model-free control approach," Renewable Energy, Elsevier, vol. 83(C), pages 931-941.
    7. Pinson, P. & Reikard, G. & Bidlot, J.-R., 2012. "Probabilistic forecasting of the wave energy flux," Applied Energy, Elsevier, vol. 93(C), pages 364-370.
    8. Li, Guang & Belmont, Michael R., 2014. "Model predictive control of sea wave energy converters – Part I: A convex approach for the case of a single device," Renewable Energy, Elsevier, vol. 69(C), pages 453-463.
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