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Advection-Based Coordinated Control for Wave-Energy Converter Array

Author

Listed:
  • Hong Li

    (College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China)

  • Bo Zhang

    (College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China)

  • Li Qiu

    (College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China)

  • Shiyu Chen

    (College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China)

  • Jianping Yuan

    (Shenzhen Intelligent Operation Technology Laboratory, Research Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518060, China)

  • Jianjun Luo

    (Shenzhen Intelligent Operation Technology Laboratory, Research Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518060, China)

Abstract

This paper presents a coordinated control based on the advection consensus control algorithm to implement power dispatch for each wave-energy converter (WEC) in a WEC array. Under unbalanced conditions, the proposed algorithm is applied in order to control each WEC to output power coordinately, to enable the total output power of the WEC array to satisfy the time-varying load requirements. The purpose of the additional energy storage unit on each WEC is to smooth the power output of each WEC and to obtain more margin. Case studies include the demonstration of some simulations and experiments, and the results show that the WEC array under the proposed control method can accurately respond to the demand for power supply under unbalanced initial conditions.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:18:p:3567-:d:268261
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    References listed on IDEAS

    as
    1. Tunde Aderinto & Hua Li, 2018. "Ocean Wave Energy Converters: Status and Challenges," Energies, MDPI, vol. 11(5), pages 1-26, May.
    2. 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.
    3. Lagorse, Jeremy & Paire, Damien & Miraoui, Abdellatif, 2010. "A multi-agent system for energy management of distributed power sources," Renewable Energy, Elsevier, vol. 35(1), pages 174-182.
    4. Simon Thomas & Mikael Eriksson & Malin Göteman & Martyn Hann & Jan Isberg & Jens Engström, 2018. "Experimental and Numerical Collaborative Latching Control of Wave Energy Converter Arrays," Energies, MDPI, vol. 11(11), pages 1-16, November.
    5. 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.
    Full references (including those not matched with items on IDEAS)

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