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首页> 外文期刊>Renewable Power Generation, IET >Revenue maximisation and storage utilisation for the Ocean Grazer wave energy converter: a sensitivity analysis
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Revenue maximisation and storage utilisation for the Ocean Grazer wave energy converter: a sensitivity analysis

机译：Ocean Grazer波能转换器的收益最大化和存储利用率：敏感性分析

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摘要

This study presents a revenue maximisation strategy for market integration of a novel wave energy converter (WEC), part of the Ocean Grazer platform. In particular, the authors evaluate and validate the aforementioned revenue maximisation model predictive control (MPC) strategy through extensive simulations and by checking the underlying assumptions of the strategy implementation. Accordingly, an annual simulation of the MPC strategy is shown, which illustrates seasonality effects; furthermore, a benchmark against a heuristic strategy is presented, followed by analyses of the parameter sensitivity and the assumptions on the control loop information that the MPC receives. These efforts shed some light on the impact of variations of the considered parameters and variables on the total revenue and provide insights to optimally scale the WEC. Lastly, the challenges associated with the deployment of such a strategy are addressed, followed by concluding remarks.
机译：这项研究提出了一种新的波能转换器（WEC）（Ocean Grazer平台的一部分）的市场整合收益最大化策略。特别是，作者通过广泛的模拟并检查了策略实施的基本假设，评估并验证了上述收益最大化模型预测控制（MPC）策略。因此，显示了MPC策略的年度模拟，它说明了季节性影响。此外，提出了针对启发式策略的基准，然后分析了参数敏感性和MPC接收到的控制环信息的假设。这些努力揭示了所考虑的参数和变量的变化对总收入的影响，并为优化WEC提供了见识。最后，解决了与部署这种战略有关的挑战，随后作了总结。

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  • 来源
    《Renewable Power Generation, IET》 |2018年第11期|1241-1248|共8页
  • 作者

    Jose de Jesus Barradas-Berglind; Tom Dijkstra; Yanji Wei; Marijn van Rooij; Harmen Meijer; Wout A. Prins; Antonis I. Vakis; Bayu Jayawardhana;

  • 作者单位

    Faculty of Science and Engineering, Engineering and Technology Institute Groningen, University of Groningen, The Netherlands;

    Faculty of Science and Engineering, Engineering and Technology Institute Groningen, University of Groningen, The Netherlands;

    Faculty of Science and Engineering, Engineering and Technology Institute Groningen, University of Groningen, The Netherlands;

    Faculty of Science and Engineering, Engineering and Technology Institute Groningen, University of Groningen, The Netherlands;

    Faculty of Science and Engineering, Engineering and Technology Institute Groningen, University of Groningen, The Netherlands;

    Faculty of Science and Engineering, Engineering and Technology Institute Groningen, University of Groningen, The Netherlands;

    Faculty of Science and Engineering, Engineering and Technology Institute Groningen, University of Groningen, The Netherlands;

    Faculty of Science and Engineering, Engineering and Technology Institute Groningen, University of Groningen, The Netherlands;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    energy storage; optimisation; power generation control; predictive control; sensitivity analysis; wave power generation;

    机译：储能;优化;发电控制;预测控制;灵敏度分析;波浪发电;

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