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基于波高预测的波浪能回收装置最优控制的研究
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国家重点研发计划(2017YFC1405600); 青岛市科技计划(14-2-4-42-jch)


The research of optimal control based on wave prediction in wave energy conversion
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    摘要:

    波浪能因其分布广泛且能流密度高,是一种优质的海洋能源。但由于波浪能输入功率不稳定的原因限制了其应用。有研究表明,通过对波浪能能量俘获装置(WEC)的运动控制,可以有效地提高能量俘获效率。一些运动控制技术,如相位控制等已经被成功应用。 近期研究中有学者提出,通过对波浪的短期预测而实现波浪能最优俘获的观点,这对于波浪能的应用是非常具有意义的,但对于波浪预测的时间尺度并未有做深入研究。基于水动力学理论对波浪的预测效应进行了理论分析并和仿真研究。通过仿真以定量的方式建立了波浪短期预测与能量俘获之间的关系,进一步增加了对波浪能俘获最优控制的理解。

    Abstract:

    As a kind of energy, wave energy in ocean is a renewable energy with the characteristics of widespread, abundant and highly energy flux density. But it’s hard to extract energy from incident wave which is random, unstable with big variance of power input. Wave energy converter (WEC) is a device designed to capture the wave power. Recently much more attention is paid to oscillate WEC (point absorber wave energy capture device) for its flexible, low cost and easy deployment. In particular, the efficiency of oscillating WEC can be significantly increased by motion control. Some investigations show that an optimal control strategy can be designed to alter the oscillator dynamics. As a result, the efficient energy conversion will occur over a wide range of wave conditions. This point of view is also verified by some practical application such as latching control. Study also shows that short term wave prediction is essential for reactive control. However, the fact of prediction time horizon is still unclear. In this paper, the prediction effect is described mathematically based on hydrodynamic theory. Furthermore, a simulation study is also performed to show the increasing of energy capture by the effect of wave prediction, and the problem of this study is analyzed. Finally, an economical prediction time horizon is proposed considering costs and benefits and a more insightful understanding of WEC optimal control is obtained by this paper.

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赵彬,杨立,崔晓.基于波高预测的波浪能回收装置最优控制的研究[J].机床与液压,2020,48(12):112-118.
. The research of optimal control based on wave prediction in wave energy conversion[J]. Machine Tool & Hydraulics,2020,48(12):112-118

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  • 在线发布日期: 2020-08-21
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