期刊文献+

基于频域通用建模的双馈风电机组参数的一体化辨识方法

Integrated Identification Method for Parameters of Doubly-fed Wind Turbines Based on General Modeling in Frequency Domain
下载PDF
导出
摘要 风电在电网中的占比逐年提高,其动态特性,尤其是故障穿越特性,对电力系统的影响日益显著,亟须构建能够表征实际风电机组动态特性的白盒模型。然而,风电机组的模型参数众多且交互影响,当前的参数辨识方法无法实现对整个机组故障穿越控制参数及限幅参数、转子侧内外环控制参数、网侧内外环控制参数和电气参数的整体辨识,尤其是无法精准辨识对外特性不敏感的参数。为解决这些问题,针对双馈风电机组故障穿越工况,构建了包含机组本体及全部控制器的频域通用模型,将参数分为4类逐步辨识,提出基于频域模型的分类分步一体化辨识方法。通过与仿真模型结果对比,验证了频域通用模型的准确性;通过参数辨识值与真值的对比、辨识出的白盒模型与厂家黑盒模型的响应特性对比,验证了所提方法的有效性。 The proportion of wind power in the power grid is increasing annually,and its dynamic characteristics,especially the fault ride-through characteristics,have an increasing impact on the power system.It is urgent to construct a white box model that can characterize the dynamic characteristics of actual wind turbines.However,the model parameters of wind turbines are numerous and have interactive effects,and the existing parameter identification methods cannot achieve comprehensive identification of the entire wind turbine,including fault ride-through control parameters,limiter parameters,rotor-side inner and outer loop control parameters,grid-side inner and outer loop control parameters,and electrical parameters.Particularly,there is a challenge in accurately identifying parameters with insensitive external characteristics.To address these issues,aiming at the fault ride-through conditions of doubly-fed wind turbines,the general models in frequency domain are constructed,including the whole mechanical,electrical and the involved control systems.Parameters are divided into 4 categories for step-by-step identification,and a classification and step-by-step integrated identification method based on frequency domain models is proposed.The accuracy of the general model in frequency domain is verified through comparison with simulation model results.The effectiveness of the proposed method is confirmed by comparing the parameter identification values and true values,as well as the response characteristics between the identified white-box model and the manufacturers’black-box model.
作者 朱益华 李卫星 李成翔 罗超 晁璞璞 崔浩瀚 ZHU Yihua;LI Weixing;LI Chengxiang;LUO Chao;CHAO Pupu;CUI Haohan(State Key Laboratory of HVDC(Electric Power Research Institute of China Southern Power Grid Company Limited),Guangzhou 510663,China;National Energy Power Grid Technology Research and Development Centre,Guangzhou 510663,China;School of Electrical Engineering,Dalian University of Technology,Dalian 116081,China)
出处 《电力系统自动化》 EI CSCD 北大核心 2024年第15期92-101,共10页 Automation of Electric Power Systems
基金 南方电网科学研究院有限责任公司科技项目(基于参数辨识的新能源场站电磁暂态建模技术研究,1500002023030103FZ00091) 国家自然科学基金面上项目(52377077)。
关键词 双馈风电机组 故障穿越 参数辨识 频域建模 一体化辨识方法 doubly-fed wind turbine fault ride-through parameter identification modeling in frequency domain integrated identification method
  • 相关文献

参考文献12

二级参考文献184

  • 1秦继朔,贾科,孔繁哲,杨彬,武文强,毕天姝.基于寻优算法的永磁风机并网逆变器故障穿越控制参数分步辨识[J].中国电机工程学报,2021,41(S01):59-69. 被引量:22
  • 2Yinfeng WANG,Chao LU,Lipeng ZHU,Guoli ZHANG,Xiu LI,Ying CHEN.Comprehensive modeling and parameter identification of wind farms based on wide-area measurement systems[J].Journal of Modern Power Systems and Clean Energy,2016,4(3):383-393. 被引量:24
  • 3胡家兵,孙丹,贺益康,赵仁德.电网电压骤降故障下双馈风力发电机建模与控制[J].电力系统自动化,2006,30(8):21-26. 被引量:245
  • 4AKHMATOV V.风力发电用感应发电机[M].刘长泡,王伟胜,赵海翔,等编译.北京:中国电力出版社,2009.
  • 5胡广书.数字信号处理[M].北京:清华大学出版社,2003..
  • 6Ad Hoc Task Force on Wind Generation Model Validation of the IEEE PES Working Group on Dynamic Performance of Wind Power Generation of the IEEE PES Power System Stability Controls Subcommittee of the IEEE PES Power System Dynamic Performance Committee. Model validation for wind turbine generator models[J]. IEEETrans. on Power Systems, 2011, 26(3): 1769-1782.
  • 7Fortmann J, Engelhardt S, Kretschmann J, et al. Validation of an RMS DFIG simulation model according to new German model validation standard FGW TR4 at balanced and unbalanced grid faults[C]//Proceedings of 8thInternational Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Farms. Bremen, Germany, 2009: 1-7.
  • 8Trilla L, Gomis-Bellmunt O, Junyent-Ferr6 A, et al. Modeling and validation of DFIG 3-MW wind turbine using field test data of balanced and unbalanced voltage sags[J]. IEEE Trans. on Power Systems, 2011, 2(4): 509-519.
  • 9Pedersen J K, Helgelsen-Pedersen K O, Kjolstad Poulsen N, et al. Contribution to a dynamic wind turbine model validation from a wind farm islanding experiment[J]. Electric Power Systems Research, 2003, 64(1): 41-51.
  • 10Brochu J, Larose C, Gagnon R. Validation of single-and multiple-machine equivalents for modeling wind power plants[J]. IEEE Trans. on Energy Conversion, 2011, 26(2): 532-541.

共引文献829

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部