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Research on Excitation Estimation for Ocean Wave Energy Generators Based on Extended Kalman Filtering

Author

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  • Yuchen Zhang

    (Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University, Jinan 250061, China
    School of Mechanical Engineering, Shandong University, Jinan 250061, China)

  • Zhenquan Zhang

    (Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China)

  • Jun Wang

    (Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China)

  • Jian Qin

    (Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China)

  • Shuting Huang

    (Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China)

  • Gang Xue

    (Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University, Jinan 250061, China
    School of Mechanical Engineering, Shandong University, Jinan 250061, China
    Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China)

  • Yanjun Liu

    (Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University, Jinan 250061, China
    School of Mechanical Engineering, Shandong University, Jinan 250061, China
    Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China)

Abstract

Wave energy generation methods have significant energy costs. The implementation of sophisticated control techniques in wave energy generators can lower the cost of power generation by optimizing the energy recovered from wave energy converters (WECs). To determine control inputs, most control systems rely on knowledge of the wave excitation force, including information on past, present, and future excitation forces. For the excitation of WEC devices, wave excitation force can only be inferred and predicted because it is an unmeasurable quantity. One of the more widely used observers in wave excitation estimates at the moment is the Kalman filter, but its use is primarily restricted to linear Kalman filtering. The mooring system is an integral component of floating wave energy producers. The mooring force of the device is actually nonlinear; however, the majority of current studies on excitation estimates for wave energy producers based on Kalman filter methods employ an ideal motion model based on the linearization of the mooring force. This paper, in an attempt to make things more realistic, creates a WEC system with highly nonlinear mooring forces, suggests a way to build a wave excitation force estimator for a nonlinear WEC system using the extended Kalman filtering method, and assesses the impact of various factors, such as measurement noise, random phase, and the number of equal-energy methods dividing the frequency, on the accuracy of the wave excitation force estimate.

Suggested Citation

  • Yuchen Zhang & Zhenquan Zhang & Jun Wang & Jian Qin & Shuting Huang & Gang Xue & Yanjun Liu, 2024. "Research on Excitation Estimation for Ocean Wave Energy Generators Based on Extended Kalman Filtering," Energies, MDPI, vol. 17(3), pages 1-17, February.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:3:p:704-:d:1331373
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    References listed on IDEAS

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    1. Zhang, Zhenquan & Qin, Jian & Wang, Dengshuai & Wang, Wei & Liu, Yanjun & Xue, Gang, 2023. "Research on wave excitation estimators for arrays of wave energy converters," Energy, Elsevier, vol. 264(C).
    2. López, Iraide & Andreu, Jon & Ceballos, Salvador & Martínez de Alegría, Iñigo & Kortabarria, Iñigo, 2013. "Review of wave energy technologies and the necessary power-equipment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 413-434.
    3. Ali, Mumtaz & Prasad, Ramendra, 2019. "Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 281-295.
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