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; 王项南; 李强; 常皓; 赵智坤

doi:10.19912/j.0254-0096.tynxb.2022-0154

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

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

作者信息 +

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

Author information +

文章历史 +

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。

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.

导出引用

夏海南, 王项南, 李强, 常皓, 赵智坤. 潮流能发电装置输出功率异常数据识别方法研究及应用[J]. 太阳能学报. 2022, 43(8): 472-476 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0154

Xia Hainan, Wang Xiangnan, Li Qiang, Chang Hao, Zhao Zhikun. RESEARCH AND APPLICATION OF ABNORMAL DATA IDENTIFICATION METHOD OF OUTPUT POWER FOR TIDAL ENERGY CONVERTERS[J]. Acta Energiae Solaris Sinica. 2022, 43(8): 472-476 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0154

中图分类号： TH17 TM761

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