针对某筒型基础海上风电结构,基于实测振动响应数据,采用随机子空间法对所测海上风电结构的阻尼进行识别,研究海上风电筒型基础结构在停机及运行状态下阻尼的变化规律。结果表明：在停机状态下,海上风电筒型基础结构的顺风向阻尼和横风向阻尼均随外界风速的增大呈增长趋势,两者的平均值分别为0.952%和0.973%;当风电机组处于运行状态时,顺风向运行阻尼随外界风速的增大呈增长趋势,阻尼平均值在3.87%~5.28%之间变化,而对于横风向运行阻尼,其变化趋势受外界因素的影响较小,阻尼平均值在整个风速范围内在1.74%~3.37%之间变化,横风向运行阻尼小于顺风向运行阻尼。
Abstract
For an offshore wind turbine supported by bucket foundation, based on the measured vibration data on site, the stochastic subspace identification method was used to identify the damping of the measured offshore wind turbine structure, and the damping characteristics of the offshore wind turbine supported by bucket foundation under parked and operational conditions were studied. The results show that： in parked conditions, the along-wind and cross-wind damping of the offshore wind turbine supported by bucket foundation both increase with the increase of external wind speed, and the average values of these are 0.952% and 0.973%, respectively; in operational conditions, the along-wind damping shows an increasing trend with the increase of external wind speed, and its average damping value varies within the range of 3.87%-5.28%. For the cross-wind damping, its change trend is less affected by the external factors. The average value of cross-wind damping varies from 1.74% to 3.37% in the entire wind speed range, and the cross-wind damping is smaller than the along-wind damping under operational conditions.
关键词
海上风电 /
振动测试 /
阻尼 /
筒型基础 /
随机子空间法
Key words
offshore wind power /
vibration measurement /
damping /
bucket foundation /
stochastic subspace identification
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] CARSWELL W, JOHANSSON J, LØVHOLTB F,et al. Foundation damping and the dynamics of offshore wind turbine monopoles[J]. Renewable energy, 2015, 80: 724-736.
[2] 董霄峰. 海上风机结构振动特性分析与动态参数识别研究[D]. 天津: 天津大学, 2014.
DONG X F.Vibration behavior analysis and dynamic parameter identification of offshore wind turbine structure[D]. Tianjin: Tianjin University, 2014.
[3] 赵艳. 风机结构振动监测及动力响应研究[D]. 杭州: 浙江大学, 2018.
ZHAO Y.Vibration monitoring and dynamic response analysis of a wind turbine[D]. Hangzhou: Zhejiang University, 2018.
[4] DEVRIENDT C, EL-KAFAFY M, DE-SITTER G, et al.Continuous dynamic monitoring of an offshore wind turbine on a monopile foundation[C]//ISMA 2012 AIMS-4,Auditorium B210E/B211E Meeting Room, San Diego Supercomputer Center, UCSD Campus, La Jolla, CA 2012.
[5] DEVRIENDT C, JORDAENS P J, DE SITTER G, et al.Damping estimation of an offshore wind turbine on a monopile foundation[J]. IET renewable power generation, 2013, 7(4): 401-412.
[6] DAMGAARD M, IBSEN L B, ANDERSEN L V, et al.Damping estimation of a bucket foundation for offshore wind turbines identified by full scale testing[C]//5th International Operational Modal Analysis Conference(IOMAC 2013), Guimaraes, Portugal, 2013.
[7] KRAMERS H C, VAN DER VALK P L C, VAN WINGERDEN J W. Statistical evaluation of the identified structural parameters of an idling offshore wind turbine[J]. Journal of physics: conference series, 2016, 753: 052006.
[8] ANELA B, JAN H, FINN R.Evaluation of damping estimates by automated operational modal analysis for offshore wind turbine tower vibrations[J]. Renewable Energy, 2018, 116(PT.B): 153-163.
[9] LIAN J J, SUN L Q, ZHANG J F, et al.Bearing capacity and technical advantages of composite bucket foundation of offshore wind turbines[J]. Transactions of Tianjin University, 2011, 17(2): 132-137.
[10] LIAN J J, DING H Y, ZHANG P Y, et al.Design of large-scale prestressing bucket foundation for offshore wind turbines[J]. Transactions of Tianjin University, 2012, 18(2): 79-84.
[11] PEMBERTON R, SUMMERSCALES J, GRAHAM-JONES J.11-Offshore wind turbines[M]. Composites Science and Engineering, Marine Composites, Sawston, Cambridge: Woodhead Publishing, 2019: 317-344.
[12] BART P G.Reference-based stochastic subspace identification for output-only modal analysis[J]. Mechanical systems and signal processing, 1999, 13(6): 855-878.
[13] REYNDERS E, MAES K, LOMBAERT G, et al.Uncertainty quantification in operational modal analysis with stochastic subspace identification: validation and applications[J]. Mechanical systems and signal processing, 2016, 66: 13-30.
[14] 傅志方, 华宏星. 模态分析理论与应用[M]. 上海: 上海交通大学出版社, 2000.
FU Z F, HUA H X.Theory and application of modal analysis[M]. Shanghai: Shanghai Jiao Tong University Press, 2000.
[15] PRASANTH R K.State space system identification approach to radar data processing[J]. Transactions on signal processing, 2011, 59(8): 3675-3684.
[16] GL. Overall damping for piled offshore support structures[R]. Guideline for the certification of offshore wind turbines, Germanischer Lloyd WindEnergie, 2005.
[17] TARP-JOHANSEN N J, ANDERSEN L, CHRISTENSEN E D, et al. Comparing sources of damping of cross wind motion[C]//European Offshore Wind Conference & Exhibition, European Wind Energy Association,Stockholm, Sweden, 2009.
[18] DEVRIENDT C, MAGALHÃES F, GUILLAUME P, et al. Long-term dynamic monitoring of an offshore wind turbine[C]//Topics in Dynamics of Civil Structures, Volume 4, Proceedings of the 31st IMAC, A Conference on Structural Dynamics, Garden Grove, California, USA, 2013.
基金
国家自然科学基金联合基金重点支持项目（U20A20316）; 河北省自然科学基金创新研究群体项目（E2020402074）
PDF(3517 KB)
