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A Model Predictive Control-Based Power Converter System for Oscillating Water Column Wave Energy Converters

Author

Listed:
  • Gimara Rajapakse

    (Australian Maritime College, University of Tasmania, Newnham, Tasmania 7248, Australia)

  • Shantha Jayasinghe

    (Australian Maritime College, University of Tasmania, Newnham, Tasmania 7248, Australia)

  • Alan Fleming

    (Australian Maritime College, University of Tasmania, Newnham, Tasmania 7248, Australia)

  • Michael Negnevitsky

    (Centre for Renewable Energy and Power Systems, University of Tasmania, Hobart, Tasmania 7001, Australia)

Abstract

Despite the predictability and availability at large scale, wave energy conversion (WEC) has still not become a mainstream renewable energy technology. One of the main reasons is the large variations in the extracted power which could lead to instabilities in the power grid. In addition, maintaining the speed of the turbine within optimal range under changing wave conditions is another control challenge, especially in oscillating water column (OWC) type WEC systems. As a solution to the first issue, this paper proposes the direct connection of a battery bank into the dc-link of the back-to-back power converter system, thereby smoothening the power delivered to the grid. For the second issue, model predictive controllers (MPCs) are developed for the rectifier and the inverter of the back-to-back converter system aiming to maintain the turbine speed within its optimum range. In addition, MPC controllers are designed to control the battery current as well, in both charging and discharging conditions. Operations of the proposed battery direct integration scheme and control solutions are verified through computer simulations. Simulation results show that the proposed integrated energy storage and control solutions are capable of delivering smooth power to the grid while maintaining the turbine speed within its optimum range under varying wave conditions.

Suggested Citation

  • Gimara Rajapakse & Shantha Jayasinghe & Alan Fleming & Michael Negnevitsky, 2017. "A Model Predictive Control-Based Power Converter System for Oscillating Water Column Wave Energy Converters," Energies, MDPI, vol. 10(10), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1631-:d:115365
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    References listed on IDEAS

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    1. Ceballos, Salvador & Rea, Judy & Robles, Eider & Lopez, Iraide & Pou, Josep & O'Sullivan, Dara, 2015. "Control strategies for combining local energy storage with wells turbine oscillating water column devices," Renewable Energy, Elsevier, vol. 83(C), pages 1097-1109.
    2. Mehrasa, Majid & Pouresmaeil, Edris & Akorede, Mudathir Funsho & Jørgensen, Bo Nørregaard & Catalão, João P.S., 2015. "Multilevel converter control approach of active power filter for harmonics elimination in electric grids," Energy, Elsevier, vol. 84(C), pages 722-731.
    3. Anna Stegman & Adrian De Andres & Henry Jeffrey & Lars Johanning & Stuart Bradley, 2017. "Exploring Marine Energy Potential in the UK Using a Whole Systems Modelling Approach," Energies, MDPI, vol. 10(9), pages 1-20, August.
    4. Tien Hai Nguyen & Kyeong-Hwa Kim, 2017. "Finite Control Set–Model Predictive Control with Modulation to Mitigate Harmonic Component in Output Current for a Grid-Connected Inverter under Distorted Grid Conditions," Energies, MDPI, vol. 10(7), pages 1-25, July.
    5. Sultana, W. Razia & Sahoo, Sarat Kumar & Sukchai, Sukruedee & Yamuna, S. & Venkatesh, D., 2017. "A review on state of art development of model predictive control for renewable energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 391-406.
    6. Yu Zou & Ka Wai Eric Cheng, 2017. "A Vertical Flux-Switching Permanent Magnet Based Oscillating Wave Power Generator with Energy Storage," Energies, MDPI, vol. 10(7), pages 1-19, June.
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    Cited by:

    1. Po Li & Ruiyu Li & Haifeng Feng, 2018. "Total Harmonic Distortion Oriented Finite Control Set Model Predictive Control for Single-Phase Inverters," Energies, MDPI, vol. 11(12), pages 1-15, December.
    2. Gimara Rajapakse & Shantha Jayasinghe & Alan Fleming, 2020. "Power Smoothing and Energy Storage Sizing of Vented Oscillating Water Column Wave Energy Converter Arrays," Energies, MDPI, vol. 13(5), pages 1-13, March.
    3. Henriques, J.C.C. & Portillo, J.C.C. & Sheng, W. & Gato, L.M.C. & Falcão, A.F.O., 2019. "Dynamics and control of air turbines in oscillating-water-column wave energy converters: Analyses and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 571-589.
    4. Gimara Rajapakse & Shantha Jayasinghe & Alan Fleming & Michael Negnevitsky, 2018. "Grid Integration and Power Smoothing of an Oscillating Water Column Wave Energy Converter," Energies, MDPI, vol. 11(7), pages 1-19, July.

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