OUTPUT POWER PREDICTION OF WAVE POWER SYSTEM BASED ONVARIATIONAL MODEL DECOMPOSITION AND VECTORAUTOREGRESSIVE MODEL

Luo Qi; Yang Junhua; Wang Chaofan; Huang Yi; Liang Haohui

doi:10.19912/j.0254-0096.tynxb.2022-0769

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (9) : 476-482. DOI: 10.19912/j.0254-0096.tynxb.2022-0769

OUTPUT POWER PREDICTION OF WAVE POWER SYSTEM BASED ONVARIATIONAL MODEL DECOMPOSITION AND VECTORAUTOREGRESSIVE MODEL

Luo Qi, Yang Junhua, Wang Chaofan, Huang Yi, Liang Haohui

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Abstract

In order to reduce the influence of wave non-smooth characteristics on the energy absorption of direct-drive wave power system, the ridge detection and variational nonlinear chirp mode decomposition is proposed as the control scheme. Using the short-time Fourier transform method to analyze the wave excitation force, the initial frequency is set combined with the ridge detection; using the variational nonlinear chirp mode decomposition method to separate the wave excitation force, obtain several mode components and extract their instantaneous frequencies. Through calculating the energy content of each mode component to determine the dominant component, the damping of the power output device is dynamically adjusted according to its instantaneous frequency to build a model of the direct-drive wave power generation system. Results of the simulation demonstrate that this proposal provides better energy absorption capability and more average power output, thus effectively increasing the power absorption performance of the direct-drive wave power system.

Key words

wave power system / wave energy conversion / ridge detection / variational nonlinear chirp mode decomposition / power optimization

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Luo Qi, Yang Junhua, Wang Chaofan, Huang Yi, Liang Haohui. OUTPUT POWER PREDICTION OF WAVE POWER SYSTEM BASED ONVARIATIONAL MODEL DECOMPOSITION AND VECTORAUTOREGRESSIVE MODEL[J]. Acta Energiae Solaris Sinica. 2023, 44(9): 476-482 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0769

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