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

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29 Downloads (Pure)

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.
Original languageEnglish
Article number635
JournalEnergies
Volume11
Issue number3
Pages (from-to)1-17
Number of pages17
ISSN1996-1073
DOIs
Publication statusPublished - Mar 2018

Fingerprint

Model predictive control
Model Predictive Control
Takeoff
Converter
Fluid
Fluids
Energy
Loss System
Wave power
Absorber
Power System
Control Algorithm
Horizon
Inclusion
Prediction
Output
Model

Keywords

  • Wave energy
  • Model predictive control
  • Discrete fluid power PTO
  • Discrete displacement cylinder
  • Point absorber

Cite this

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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.",
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Model Predictive Control of a Wave Energy Converter with Discrete Fluid Power Power Take-Off System. / Hansen, Anders Hedegaard; Asmussen, Magnus Færing; Bech, Michael Møller.

In: Energies, Vol. 11, No. 3, 635, 03.2018, p. 1-17.

Research output: Contribution to journalJournal articleResearchpeer-review

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