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ISSN 0254-0096 CN 11-2082/K

太阳能学报 ›› 2022, Vol. 43 ›› Issue (8): 472-476.DOI: 10.19912/j.0254-0096.tynxb.2022-0154

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潮流能发电装置输出功率异常数据识别方法研究及应用

夏海南1, 王项南1, 李强1, 常皓2, 赵智坤2   

  1. 1.国家海洋技术中心,天津 300112;
    2.天津大学建筑工程学院,天津 300072
  • 收稿日期:2022-02-10 出版日期:2022-08-28 发布日期:2023-02-28
  • 通讯作者: 王项南(1965—),男,学士、研究员,主要从事海洋能开发利用技术方面的研究。notckj@vip.sina.com
  • 基金资助:
    国家海洋技术中心科技创新基金(Y3200Z003)

RESEARCH AND APPLICATION OF ABNORMAL DATA IDENTIFICATION METHOD OF OUTPUT POWER FOR TIDAL ENERGY CONVERTERS

Xia Hainan1, Wang Xiangnan1, Li Qiang1, Chang Hao2, Zhao Zhikun2   

  1. 1. National Ocean Technology Center, Tianjin 300112, China;
    2. School of Civil Engineering, Tianjin University, Tianjin 300072, China
  • Received:2022-02-10 Online:2022-08-28 Published:2023-02-28

摘要: 在分析潮流能发电装置输出功率数据存在异常值的原因的基础上,讨论潮流能发电装置输出功率异常数据的判别方法,采用潮流流速区间精细划分和四分位判别相结合的方法,对每个潮流流速区间内的潮流能发电装置输出功率异常值进行识别与剔除。结果表明,该异常数据识别方法不仅能使得剔除异常数据后的潮流能发电装置输出功率图谱能更真实地表征被测试潮流能发电装置的输出功率特性,而且可提高潮流能发电装置平均输出功率和平均转换效率的计算准确度。

关键词: 潮流能, 现场测试, 功率特性, 异常数据

Abstract: On the basis of analyzing the cause of abnormal value of the output power data in the tidal energy converter field test work, the method of discriminating the abnormal data is discussed. The abnormal value in each tidal current velocity bin is identified and eliminated by using the combination of the fine division of the tidal current velocity bin and the quartile discrimination. The results show that the abnormal data identification method can not only make the output power spectrum more truly characterize the output power characteristics of the tested tidal energy converter, but also improve the calculation accuracy of the average output power and average conversion efficiency.

Key words: tidal energy, field test, power characteristic, abnormal data

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