Numerical and experimental studies of excitation force approximation for wave energy conversion

RENEWABLE ENERGY

卷:125

Article

Guo, Bingyong¹  Patton, Ron J.²  Jin, Siya²  Lan, Jianglin³ 

[1] Univ Exeter, Coll Engn Math & Phys Sci, Harrison Bldg,North Pk Rd, Exeter EX4 4QF, Devon, England

[2] Univ Hull, Sch Engn & Comp Sci, Cottingham Rd, Kingston Upon Hull HU6 7RX, N Humberside, England

[3] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England

关键词: Excitation force modelling;    Model verification;    Wave energy conversion;    System identification;    Unknown input observer;    Wave tank tests;   

DOI  :  10.1016/j.renene.2018.03.007

来源: Elsevier

【 摘 要 】

Past or/and future information of the excitation force is useful for real-time power maximisation control of Wave Energy Converter (WEC) systems. Current WEC modelling approaches assume that the wave excitation force is accessible and known. However, it is not directly measurable for oscillating bodies. This study aims to provide accurate approximations of the excitation force for the purpose of enhancing the effectiveness of WEC control. In this work, three approaches are proposed to approximate the excitation force, by (i) identifying the excitation force from wave elevation, (ii) estimating the excitation force from the measurements of pressure, acceleration and displacement, (iii) observing the excitation force via an unknown input observer. These methods are compared with each other to discuss their advantages, drawbacks and application scenarios. To validate and compare the performance of the proposed methods, a 1/50 scale heaving point absorber WEC was tested in a wave tank under variable wave scenarios. The experimental data were in accordance with the excitation force approximations in both the frequency- and time-domains based upon both regular and irregular wave excitation. Although the experimental data were post-processed for model verification, these approaches can be applied for real-time power maximisation control with excitation force prediction. (C) 2018 Elsevier Ltd. All rights reserved.

【 授权许可】

Free