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A Study about Performance and Robustness of Model Predictive Controllers in a WEC System

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  • Rafael Guardeño

    (Escuela Superior de Ingeniería, Universidad de Cádiz, 11519 Puerto Real, Spain)

  • Agustín Consegliere

    (Escuela Superior de Ingeniería, Universidad de Cádiz, 11519 Puerto Real, Spain)

  • Manuel J. López

    (Escuela Superior de Ingeniería, Universidad de Cádiz, 11519 Puerto Real, Spain)

Abstract

This work is located in a growing sector within the field of renewable energies, wave energy converters (WECs). Specifically, it focuses on one of the point absorber waves (PAWs) of the hybrid platform W2POWER. With the aim of maximizing the mechanical power extracted from the waves by these WECs and reducing their mechanical fatigue, the design of five different model predictive controllers (MPCs) with hard and soft constraints has been carried out. As a contribution of this paper, two of the MPCs have been designed with the addition of an embedded integrator. In order to analyze and compare the MPCs with conventional PI type control, an exhaustive study about performance and robustness is realized through the computer simulations carried out, in which uncertainties in the WEC dynamics and JONSWAP spectrum are considered. The results obtained show how the MPCs with embedded integrator improve power production of the WEC system studied in this work.

Suggested Citation

  • Rafael Guardeño & Agustín Consegliere & Manuel J. López, 2018. "A Study about Performance and Robustness of Model Predictive Controllers in a WEC System," Energies, MDPI, vol. 11(10), pages 1-23, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2857-:d:177395
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    References listed on IDEAS

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    1. Yue Hong & Mikael Eriksson & Cecilia Boström & Rafael Waters, 2016. "Impact of Generator Stroke Length on Energy Production for a Direct Drive Wave Energy Converter," Energies, MDPI, vol. 9(9), pages 1-12, September.
    2. Silvia Bozzi & Adrià Moreno Miquel & Alessandro Antonini & Giuseppe Passoni & Renata Archetti, 2013. "Modeling of a Point Absorber for Energy Conversion in Italian Seas," Energies, MDPI, vol. 6(6), pages 1-19, June.
    3. 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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    Cited by:

    1. Hong-wei Fang & Ru-nan Song & Zhao-xia Xiao, 2018. "Optimal Design of Permanent Magnet Linear Generator and Its Application in a Wave Energy Conversion System," Energies, MDPI, vol. 11(11), pages 1-12, November.
    2. Eugen Rusu & Vengatesan Venugopal, 2019. "Special Issue “Offshore Renewable Energy: Ocean Waves, Tides and Offshore Wind”," Energies, MDPI, vol. 12(1), pages 1-4, January.

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