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

Anders Hedegaard Hansen, Magnus F. Asmussen and Michael M. Bech
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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

Energies, 2018, vol. 11, issue 3, 1-17

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.

Keywords: wave energy; model predictive control; discrete fluid power PTO; discrete displacement cylinder; point absorber (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (7)

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