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MPPT strategy based on speed control for AWS-based wave energy conversion system

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  • Marei, Mostafa I.
  • Mokhtar, Mohamed
  • El-Sattar, Ahmed A.

Abstract

One of the attractive direct-drive wave energy conversion systems is the Archimedes Wave Swing (AWS) coupled to a Linear Permanent Magnet Synchronous Generator (LPMSG). This paper presents an integrated control strategy for the back-to-back converter interfacing the LPMSG not only to extract the maximum power from the wave, but also to ride-through the fault. The proposed maximum power tracking technique is based on speed sensorless control of the LPMSG. The unscented Kalman filter is adapted to estimate the translator velocity. The optimal velocity is obtained from the instantaneous active power at the generator terminals. Moreover, a low-voltage ride-through control is integrated to satisfy the grid-code requirements by injecting reactive current during grid disturbances. The generated active power at the fault instant is considered in determining the dynamic reactive power injection to not exceed the ratings of the grid-side converter. The superiority of the proposed strategy is the result of its ability to regulate the translator velocity that generates optimum power. Numerical simulations are conducted to evaluate the dynamic performance of the proposed integrated optimal strategy. Besides, it has been shown that the proposed methodology outdoes others by the decreased power fluctuations which leads to a reduction of the converter size.

Suggested Citation

  • Marei, Mostafa I. & Mokhtar, Mohamed & El-Sattar, Ahmed A., 2015. "MPPT strategy based on speed control for AWS-based wave energy conversion system," Renewable Energy, Elsevier, vol. 83(C), pages 305-317.
    • Handle: RePEc:eee:renene:v:83:y:2015:i:c:p:305-317
    DOI: 10.1016/j.renene.2015.04.039
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    References listed on IDEAS

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    1. Hong, Yue & Waters, Rafael & Boström, Cecilia & Eriksson, Mikael & Engström, Jens & Leijon, Mats, 2014. "Review on electrical control strategies for wave energy converting systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 329-342.
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    4. Alberdi, Mikel & Amundarain, Modesto & Garrido, Aitor & Garrido, Izaskun, 2012. "Neural control for voltage dips ride-through of oscillating water column-based wave energy converter equipped with doubly-fed induction generator," Renewable Energy, Elsevier, vol. 48(C), pages 16-26.
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    Cited by:

    1. Mahdy, Ahmed & Hasanien, Hany M. & Helmy, Waleed & Turky, Rania A. & Abdel Aleem, Shady H.E., 2022. "Transient stability improvement of wave energy conversion systems connected to power grid using anti-windup-coot optimization strategy," Energy, Elsevier, vol. 245(C).
    2. Yue, Xuhui & Geng, Dazhou & Chen, Qijuan & Zheng, Yang & Gao, Gongzheng & Xu, Lei, 2021. "2-D lookup table based MPPT: Another choice of improving the generating capacity of a wave power system," Renewable Energy, Elsevier, vol. 179(C), pages 625-640.
    3. Hong Li & Bo Zhang & Li Qiu & Shiyu Chen & Jianping Yuan & Jianjun Luo, 2019. "Advection-Based Coordinated Control for Wave-Energy Converter Array," Energies, MDPI, vol. 12(18), pages 1-21, September.
    4. Wang, Liguo & Isberg, Jan & Tedeschi, Elisabetta, 2018. "Review of control strategies for wave energy conversion systems and their validation: the wave-to-wire approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 366-379.
    5. Raju Ahamed & Kristoffer McKee & Ian Howard, 2022. "A Review of the Linear Generator Type of Wave Energy Converters’ Power Take-Off Systems," Sustainability, MDPI, vol. 14(16), pages 1-42, August.

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