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Co-design of a wave energy converter using constrained predictive control

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  • O'Sullivan, Adrian C.M.
  • Lightbody, Gordon

Abstract

This paper highlights the need to optimise the performance of the complete wave to wire system, instead of designing the individual subsystems. In this work a point absorber wave energy converter operating in heave mode separately, coupled to a Linear Permanent Magnet Generator (LPMG); where the results are obtained in simulation. The PTO force is controlled by a machine side back-to-back voltage source converter (VSC), which is connected to a constant DC-link voltage. Model Predictive Control (MPC) is then used to maximise the absorbed electrical power with the resistive losses of the PTO included; this is compared with classical control methods. The optimal force produced from the MPC incorporates legitimate physical and electrical constraints of the WEC and LPMG -the importance of including such constraints within the optimisation is shown. Field weakening and a uni-directional power flow constraint are then incorporated to help prevent poor grid power quality when fluctuations in the DC-link occur. It is assumed that the constrained optimal control approach produces the highest possible electrical power available. This means that it is now possible to clearly see the effect of physical design choices on the performance on a level playing field.

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  • O'Sullivan, Adrian C.M. & Lightbody, Gordon, 2017. "Co-design of a wave energy converter using constrained predictive control," Renewable Energy, Elsevier, vol. 102(PA), pages 142-156.
    • Handle: RePEc:eee:renene:v:102:y:2017:i:pa:p:142-156
    DOI: 10.1016/j.renene.2016.10.034
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    References listed on IDEAS

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    1. Markel Penalba & John V. Ringwood, 2016. "A Review of Wave-to-Wire Models for Wave Energy Converters," Energies, MDPI, vol. 9(7), pages 1-45, June.
    2. 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.
    3. Ekström, Rickard & Ekergård, Boel & Leijon, Mats, 2015. "Electrical damping of linear generators for wave energy converters—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 116-128.
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    1. Markel Penalba & José-Antonio Cortajarena & John V. Ringwood, 2017. "Validating a Wave-to-Wire Model for a Wave Energy Converter—Part II: The Electrical System," Energies, MDPI, vol. 10(7), pages 1-24, July.
    2. Grasberger, Jeff & Yang, Lisheng & Bacelli, Giorgio & Zuo, Lei, 2024. "Control co-design and optimization of oscillating-surge wave energy converter," Renewable Energy, Elsevier, vol. 225(C).
    3. 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.
    4. Kushal A. Prasad & Aneesh A. Chand & Nallapaneni Manoj Kumar & Sumesh Narayan & Kabir A. Mamun, 2022. "A Critical Review of Power Take-Off Wave Energy Technology Leading to the Conceptual Design of a Novel Wave-Plus-Photon Energy Harvester for Island/Coastal Communities’ Energy Needs," Sustainability, MDPI, vol. 14(4), pages 1-55, February.
    5. Penalba, Markel & Ringwood, John V., 2019. "A high-fidelity wave-to-wire model for wave energy converters," Renewable Energy, Elsevier, vol. 134(C), pages 367-378.
    6. Marios Charilaos Sousounis & Jonathan Shek, 2019. "Wave-to-Wire Power Maximization Control for All-Electric Wave Energy Converters with Non-Ideal Power Take-Off," Energies, MDPI, vol. 12(15), pages 1-27, July.
    7. 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.
    8. Aleix Maria-Arenas & Aitor J. Garrido & Eugen Rusu & Izaskun Garrido, 2019. "Control Strategies Applied to Wave Energy Converters: State of the Art," Energies, MDPI, vol. 12(16), pages 1-19, August.
    9. Penalba, Markel & Davidson, Josh & Windt, Christian & Ringwood, John V., 2018. "A high-fidelity wave-to-wire simulation platform for wave energy converters: Coupled numerical wave tank and power take-off models," Applied Energy, Elsevier, vol. 226(C), pages 655-669.

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