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Model Predictive Control of a Wave Energy Converter with Discrete Fluid Power Power Take-Off System

Author

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  • Anders Hedegaard Hansen

    (Department of Energy Technology, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg, Denmark)

  • Magnus F. Asmussen

    (Department of Energy Technology, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg, Denmark)

  • Michael M. Bech

    (Department of Energy Technology, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg, Denmark)

Abstract

Wave power extraction algorithms for wave energy converters are normally designed without taking system losses into account leading to suboptimal power extraction. In the current work, a model predictive power extraction algorithm is designed for a discretized power take of system. It is shown how the quantized nature of a discrete fluid power system may be included in a new model predictive control algorithm leading to a significant increase in the harvested power. A detailed investigation of the influence of the prediction horizon and the time step is reported. Furthermore, it is shown how the inclusion of a loss model may increase the energy output. Based on the presented results it is concluded that power extraction algorithms based on model predictive control principles are both feasible and favorable for use in a discrete fluid power power take-off system for point absorber wave energy converters.

Suggested Citation

  • Anders Hedegaard Hansen & Magnus F. Asmussen & Michael M. Bech, 2018. "Model Predictive Control of a Wave Energy Converter with Discrete Fluid Power Power Take-Off System," Energies, MDPI, vol. 11(3), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:3:p:635-:d:136063
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    References listed on IDEAS

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    1. Rico H. Hansen & Morten M. Kramer & Enrique Vidal, 2013. "Discrete Displacement Hydraulic Power Take-Off System for the Wavestar Wave Energy Converter," Energies, MDPI, vol. 6(8), pages 1-44, August.
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    Cited by:

    1. Jeremy W. Simmons & James D. Van de Ven, 2023. "Limits on the Range and Rate of Change in Power Take-Off Load in Ocean Wave Energy Conversion: A Study Using Model Predictive Control," Energies, MDPI, vol. 16(16), pages 1-17, August.
    2. Mohd Afifi Jusoh & Mohd Zamri Ibrahim & Muhamad Zalani Daud & Zulkifli Mohd Yusop & Aliashim Albani, 2020. "An Estimation of Hydraulic Power Take-off Unit Parameters for Wave Energy Converter Device Using Non-Evolutionary NLPQL and Evolutionary GA Approaches," Energies, MDPI, vol. 14(1), pages 1-26, December.
    3. Yadong Wen & Weijun Wang & Hua Liu & Longbo Mao & Hongju Mi & Wenqiang Wang & Guoping Zhang, 2018. "A Shape Optimization Method of a Specified Point Absorber Wave Energy Converter for the South China Sea," Energies, MDPI, vol. 11(10), pages 1-22, October.
    4. Dan Montoya & Elisabetta Tedeschi & Luca Castellini & Tiago Martins, 2021. "Passive Model Predictive Control on a Two-Body Self-Referenced Point Absorber Wave Energy Converter," Energies, MDPI, vol. 14(6), pages 1-21, March.
    5. Mohd Afifi Jusoh & Mohd Zamri Ibrahim & Muhamad Zalani Daud & Aliashim Albani & Zulkifli Mohd Yusop, 2019. "Hydraulic Power Take-Off Concepts for Wave Energy Conversion System: A Review," Energies, MDPI, vol. 12(23), pages 1-23, November.
    6. Søren Ketelsen & Damiano Padovani & Torben O. Andersen & Morten Kjeld Ebbesen & Lasse Schmidt, 2019. "Classification and Review of Pump-Controlled Differential Cylinder Drives," Energies, MDPI, vol. 12(7), pages 1-27, April.
    7. Lasse Schmidt & Kenneth Vorbøl Hansen, 2022. "Electro-Hydraulic Variable-Speed Drive Networks—Idea, Perspectives, and Energy Saving Potentials," Energies, MDPI, vol. 15(3), pages 1-33, February.

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