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Development of a real-time wave energy control with consideration of control latency

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  • Li, Liang
  • Gao, Yan

Abstract

In order to enhance the power capture of wave energy converters in random ocean waves, real-time control is commonly implemented. Despite the developments of various control algorithms, many of them assume that the control is implemented instantly, which may not be consistent with the real situation. The research aims to develop a control algorithm that can model control latency and investigate its effect on control effectiveness in enhancing wave power capture. The control algorithm developed replaces the traditional instant control model with a differential formula that considers the time-varying control behavior. The study found that the developed time-varying control algorithm is effective in enhancing wave power capture even with consideration of latency. However, when compared to traditional instant control theory, the present control method becomes less effective due to the residual control force caused by latency. The residual control force has a negative impact on the optimization of control commands and, consequently, wave power capture. Furthermore, it is found that the effect of latency on the control algorithm is sensitive to the wave period. The latency effect becomes less significant as the wave period increases.

Suggested Citation

  • Li, Liang & Gao, Yan, 2023. "Development of a real-time wave energy control with consideration of control latency," Energy, Elsevier, vol. 277(C).
  • Handle: RePEc:eee:energy:v:277:y:2023:i:c:s0360544223010800
    DOI: 10.1016/j.energy.2023.127686
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    References listed on IDEAS

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    1. Li, Guang & Weiss, George & Mueller, Markus & Townley, Stuart & Belmont, Mike R., 2012. "Wave energy converter control by wave prediction and dynamic programming," Renewable Energy, Elsevier, vol. 48(C), pages 392-403.
    2. Truong, D.Q. & Ahn, K.K., 2012. "Wave prediction based on a modified grey model MGM(1,1) for real-time control of wave energy converters in irregular waves," Renewable Energy, Elsevier, vol. 43(C), pages 242-255.
    3. Yadong Wen & Weijun Wang & Hua Liu & Longbo Mao & Hongju Mi & Wenqiang Wang & Guoping Zhang, 2018. "A Shape Optimization Method of a Specified Point Absorber Wave Energy Converter for the South China Sea," Energies, MDPI, vol. 11(10), pages 1-22, October.
    4. Henriques, J.C.C. & Gato, L.M.C. & Falcão, A.F.O. & Robles, E. & Faÿ, F.-X., 2016. "Latching control of a floating oscillating-water-column wave energy converter," Renewable Energy, Elsevier, vol. 90(C), pages 229-241.
    5. Gao, Richie & Gao, Zhiwei, 2016. "Pitch control for wind turbine systems using optimization, estimation and compensation," Renewable Energy, Elsevier, vol. 91(C), pages 501-515.
    6. Son, Daewoong & Yeung, Ronald W., 2017. "Optimizing ocean-wave energy extraction of a dual coaxial-cylinder WEC using nonlinear model predictive control," Applied Energy, Elsevier, vol. 187(C), pages 746-757.
    7. Li, Guang & Belmont, Mike R., 2014. "Model predictive control of sea wave energy converters – Part II: The case of an array of devices," Renewable Energy, Elsevier, vol. 68(C), pages 540-549.
    8. 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.
    9. Li, L. & Gao, Y. & Ning, D.Z. & Yuan, Z.M., 2021. "Development of a constraint non-causal wave energy control algorithm based on artificial intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
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