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Using the Cloud-Bayesian Network in Environmental Assessment of Offshore Wind-Farm Siting

机译：利用云贝叶斯网络在海上风电场的环境评估中

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摘要

Offshore wind energy has become the fastest growing form of renewable energy for the last few years. And the development of offshore wind farms (OWFs) is now characterized by a boom. OWF siting is crucial in the success of wind energy projects. Therefore, this paper aims to introduce intelligent algorithms to improve the siting assessment under conditions of multisource and uncertain information. An optimization macrositing model based on Cloud-Bayesian Network (Cloud-BN) is put forward. We introduce the cloud model and adaptive Gaussian cloud transformation (A-GCT) algorithm to grade indicators and apply BN to achieve nonlinear integration and inference of multi-indicators. Combined with the fuzzy representation of the cloud model and probabilistic reasoning of BN, the proposed model can investigate the most efficient siting areas of OWFs in the North Sea of Europe. The experimental results indicate that the siting accuracy is up to 86.67% with reference to the actual OWF location.
机译：海上风能已成为过去几年的最快增长的可再生能源形式。和海上风电场（OWFS）的发展现在以繁荣为特征。 OWF选址对于风能项目的成功至关重要。因此，本文旨在引入智能算法，以改善在多源和不确定信息条件下的选址评估。提出了一种基于Cloud-Bayesian网络（Cloud-Bn）的优化宏定型模型。我们将云模型和自适应高斯云转换（A-GCT）算法介绍到等级指示器，并应用BN以实现多指示器的非线性集成和推理。结合云模型的模糊代表和BN的概率推理，拟议的模型可以调查欧洲北海的OWF最有效的选址区域。实验结果表明，参考实际OWF位置，选址精度高达86.67％。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第16期|9710839.1-9710839.15|共15页
  • 作者

    Li Ming; Liu Kefeng; Zhang Ren; Hong Mei; Pan Qin;

  • 作者单位

    Natl Univ Def Technol Coll Meteorol & Oceanog Nanjing 211101 Jiangsu Peoples R China;

    Natl Univ Def Technol Coll Meteorol & Oceanog Nanjing 211101 Jiangsu Peoples R China;

    Natl Univ Def Technol Coll Meteorol & Oceanog Nanjing 211101 Jiangsu Peoples R China|Nanjing Univ Informat Sci & Technol Collaborat Innovat Ctr Forecast & Evaluat Meteoro Nanjing 210044 Jiangsu Peoples R China;

    Natl Univ Def Technol Coll Meteorol & Oceanog Nanjing 211101 Jiangsu Peoples R China;

    Natl Univ Def Technol Coll Meteorol & Oceanog Nanjing 211101 Jiangsu Peoples R China;

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