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

Xia Hainan; Wang Xiangnan; Li Qiang; Chang Hao; Zhao Zhikun

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

PDF(1613 KB)

Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (8) : 472-476. DOI: 10.19912/j.0254-0096.tynxb.2022-0154

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 +

History +

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

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

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

References

[1] 王项南, 麻常雷. “双碳”目标下海洋可再生能源资源开发利用[J]. 华电技术, 2021, 43(11): 91-96.
WANG X N, MA C L.Utilization of marine renewable energy resources under the goal of carbon peaking and carbon neutrality[J]. Huadian technology, 2021, 43(11): 91-96.
[2] 张继生, 汪国辉, 林祥峰. 潮流能开发利用现状与关键科技问题研究[J]. 河海大学学报(自然科学版), 2021, 49(3): 220-232.
ZHANG J S, WANG G H, LIN X F.A review of recent development and key technology problems in utilization of tidal stream energy[J]. Journal of Hohai University (nature science edition), 2021, 49(3): 220-232.
[3] 王项南, 贾宁, 夏海南, 等. 我国海洋能发电装置的测试和评价[J]. 海洋开发与管理, 2018, 35(6): 87-90.
WANG X N, JIA N, XIA H N, et al.Testing and evaluation of China's marine energy generating devices[J]. Ocean development and management, 2018, 35(6): 87-90.
[4] 罗续业, 夏登文. 中国海洋能近海重点区资源特性与评估分析[M]. 北京: 海洋出版社, 2017: 80-82.
LUO X Y, XIA D W.Marine renewable energy resource characteristics and evaluation analysis of China offshore key area[M]. Beijing: Ocean Press, 2017: 80-82.
[5] LAMY J V, AZEVEDO I L.Do tidal stream energy projects offer more value than offshore wind farms?A case study in the United Kingdom[J]. Energy policy, 2018, 113: 28-40.
[6] The Executive Committee of Ocean Energy Systems. An overview of ocean energy activities in 2020[R]. 2020: 10-13.
[7] 王项南, 张原飞, 夏海南, 等. 我国自主研发潮流能发电装置的现场测试与评价分析[J]. 仪器仪表学报, 2018, 39(7): 226-234.
WANG X N, ZHANG Y F, XIA H N, et al.Field test and evaluation of self-developed tidal power generation device[J]. Journal of scientific instrument, 2018, 39(7): 226-234.
[8] 叶青, 朱永强, 王冠杰. 潮流能发电装置输电特性综合评估研究[J]. 太阳能学报, 2016, 37(11): 2929-2936.
YE Q, ZHU Y Q, WANG G J.Study on output characteristic of tidal current energy generation devices[J]. Acta energiae solaris sinica, 2016, 37(11): 2929-2936.
[9] 赵永宁, 叶林, 朱倩雯. 风电场弃风异常数据簇的特征及处理方法[J]. 电力系统自动化, 2014, 38(21): 39-46.
ZHAO Y N, YE L, ZHU Q W.Characteristics and processing method of abnormal data clusters caused by wind curtailments in wind farms[J]. Automation of electric power systems, 2014, 38(21): 39-46.
[10] International Electrotechnical Commission. IEC/TS 62600-200, 2013. Marine energy-Part 200: Electricity producing tidal energy converters-Power performance assessment[S].
[11] 杨茂, 翟冠强, 李大勇, 等. 基于风速升降特性及支持向量机理论的异常数据重构算法[J]. 电力系统保护与控制, 2018, 46(16): 31-37.
YANG M, ZHAI G Q, LI D Y, et al.An algorithm of abnormal data reconstruction based on RISE-FALL-feature of the wind speed and support vector machine[J]. Power system protection and control, 2018, 46(16): 31-37.
[12] 朱倩雯, 叶林, 赵永宁, 等. 风电场输出功率异常数据识别与重构方法研究[J]. 电力系统保护与控制,2015, 43(3): 38-45.
ZHU Q W, YE L, ZHAO Y N, et al.Method for elimination and reconstruction of abnormal power data in wind farms[J]. Power system protection and control, 2015, 43(3): 38-45.
[13] 沈小军, 付雪姣, 周冲成, 等. 风电机组风速-功率异常运行数据特征及清洗方法[J]. 电工技术学报, 2018, 33(14): 3353-3361.
SHENG X J, FU X J, ZHOU C C, et al.Characteristics of outliers in wind speed-power operation data of wind turbines and its cleaning method[J]. Transactions of China Electrotechnical Society, 2018, 33(14): 3353-3361.
[14] 盛骤, 谢式千, 潘承毅. 概率论与数理统计[M]. 北京: 高等教育出版社, 2001: 132-135.
SHENG Z, XIE S Q, PAN C Y.Probability theory and mathematical statistics[M]. Beijing: Higher Education Press, 2001: 132-135.