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Validating a Wave-to-Wire Model for a Wave Energy Converter—Part II: The Electrical System

Author

Listed:
  • Markel Penalba

    (Centre for Ocean Energy Research, Maynooth University, Maynooth, Ireland)

  • José-Antonio Cortajarena

    (Engineering School of Eibar, University of the Basque Country, 20600 Eibar, Spain)

  • John V. Ringwood

    (Centre for Ocean Energy Research, Maynooth University, Maynooth, Ireland)

Abstract

The incorporation of the full dynamics of the different conversion stages of wave energy converters (WECs), from ocean waves to the electricity grid, is essential for a realistic evaluation of the power flow in the drive train. WECs with different power take-off (PTO) systems, including diverse transmission mechanisms, have been developed in recent decades. However, all the different PTO systems for electricity-producing WECs, regardless of any intermediate transmission mechanism, include an electric generator, linear or rotational. Therefore, accurately modelling the dynamics of electric generators is crucial for all wave-to-wire (W2W) models. This paper presents the models for three popular rotational electric generators (squirrel cage induction machine, permanent magnet synchronous generator and doubly-fed induction generator) and a back-to-back (B2B) power converter and validates such models against experimental data generated using three real electric machines. The input signals for the validation of the mathematical models are designed so that the whole operation range of the electrical generators is covered, including input signals generated using the W2W model that mimic the behaviour of different hydraulic PTO systems. Results demonstrate the effectiveness of the models in accurately reproducing the characteristics of the three electrical machines, including power losses in the different machines and the B2B converter.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:1002-:d:104734
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    References listed on IDEAS

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    2. 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.
    3. 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.
    4. Oscar Barambones & Jose A. Cortajarena & Patxi Alkorta & Jose M. Gonzalez De Durana, 2014. "A Real-Time Sliding Mode Control for a Wind Energy System Based on a Doubly Fed Induction Generator," Energies, MDPI, vol. 7(10), pages 1-22, October.
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    1. 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.
    2. Gaspar, José F. & Pinheiro, Rafael F. & Mendes, Mário J.G. C. & Kamarlouei, Mojtaba & Guedes Soares, C., 2024. "Review on hardware-in-the-loop simulation of wave energy converters and power take-offs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    3. 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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