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Revenue optimization for the Ocean Grazer wave energy converter through storage utilization

机译:通过储存利用率对海洋格雷尔波能量转换器的收入优化

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Increased penetration of renewable energy generation motivates a change of paradigm in the way power systems are structured and operated, as advocated by the smart grid concept. Accordingly, in this paper we investigate the lossless storage capabilities of the Ocean Grazer Wave Energy Converter (WEC), which could facilitate the aforementioned paradigm shift. This specific WEC exhibits both adaptability with respect to the incoming waves and significant lossless storage capabilities. We propose a Model Predictive Control (MPC) strategy based on a lumped dynamical model in order to mitigate power imbalances in the power grid and maximize the revenue of the WEC. Furthermore, we illustrate that the proposed strategy exploits the WEC energy storage capabilities and we show the economic benefits it brings. Lastly, the proposed strategy is compared with a heuristic approach and a setting without storage.
机译:可再生能源产生的渗透率促使电力系统的结构和操作方式的范式变化,如智能电网概念所倡导的。因此,在本文中,我们研究了海洋格拉内波能量转换器(WEC)的无损存储能力,这可以促进上述范式转变。该特定WEC对进入的波浪和显着的无损存储能力表现出适应性。我们提出了一种基于集总动态模型的模型预测控制(MPC)策略,以减轻电网中的功率不平衡并最大限度地提高WEC的收入。此外,我们说明拟议的策略利用WEC能量存储能力,并展示了它带来的经济效益。最后,将所提出的策略与启发式方法和没有存储的设置进行比较。

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