期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

直驱永磁同步风力发电机的电气参数辨识 被引量：8

Electrical Parameters Identification of Direct-drive Permanent Magnet Synchronous Wind Turbine
下载PDF
导出
摘要 文中首先运用机组空载和多组稳态运行点数据,研究直驱永磁同步风力发电机电气模型参数的可辨识性问题,证明机组的电气参数可唯一辨识;然后,计及测量数据的误差效应,给出优选初值—微变搜索辨识算法的具体化实用步骤表达式;最后,运用实测数据,辨识了直驱永磁同步风力发电机的特性参数,证明了理论分析的正确性和辨识算法的有效性。 Firstly, this paper focuses on the unique identifiability of electrical parameters of direct-drive permanent magnet synchronous generator （D-PMSG） wind turbine with the condition data of no-load and multi-stable operation points. Secondly, a preferred initial value and micro-variation search algorithm is adopted and the detail procedure is given to deal with measurement errors. Finally, the electrical parameters of a D-PMSG are identified on the basis of practical data, validating the correctness of the theoretical analysis and the algorithm.
作者 张仰飞 李海峰 王伟胜 郝思鹏
机构地区 中国电力科学研究院 南京工程学院 江苏省电力公司
出处 《电力系统自动化》 EI CSCD 北大核心 2012年第14期150-153,共4页 Automation of Electric Power Systems
基金 国家自然科学基金资助项目(51077068) 江苏省自然科学基金资助项目(BK2009353)~~
关键词 风电机组 永磁同步发电机 参数辨识 优选初值—微变搜索算法 可辨识性 wind turbine generator permanent magnet synchronous generator parameters identification preferred initial valueand micro-variation search algorithm identifiability
分类号 TM315 [电气工程—电机]
  • 相关文献

参考文献13

  • 1EKANAYAKE J B, HOLDSWORTH L, JENKINS N. Comparison of 5th order and 3th order machine models for doubly fed induction generator (DFIG) wind turbines [J]. Electric Power Systems Research, 2003, 67(3): 207-215.
  • 2EKANAYAKE J B, HOLDSWORTH L, WU Xueguang, et al. Dynamic modeling of doubly fed induction generator wind turbines[J]. IEEE Trans on Power Systems, 2003, 18 (2): 803-809.
  • 3LEDESMA P, USAOLA J. Doubly fed induction generator model for transient stability analysis[J]. IEEE Trans on Energy Conversion, 2005, 20(2): 388-397.
  • 4BATLLE C, DORIA CEREZO A. Energy-based modeling and simulation of the interconneetion of a back-to-back converter and a doubly-fed induction machine[C]// Proceedings of 2006 American Control Conference Minneapolis, June 14-16, 2006, Minnesota, MN, USA:1851-1856.
  • 5WU Feng, ZHANG Xiaoping, GODFREY K, et al. Modeling and control of wind turbine with doubly fed induction generator [C]// Proceedings of IEEE Power Systems Conference and Exposition, October 29-November 1, 2006, Atlanta, GA, USA: 1404-1409.
  • 6MOK K. Identification of the power coefficient of wind turbines [C]// Proceedings of IEEE Power Engineering Society General Meeting, June 12-16, 2005, Los Angeles, CA, USA: 2078-2082.
  • 7MONROY A, ALVAREZ ICAZA L. Real-time identification of wind turbine rotor power coefficient[C]// Proceedings of the 45th IEEE Conference on Decision I~ Control, December 13-15, 2006, San Diego, CA, USA: 3690-3696.
  • 8SENJYU T, YASUTAKA O, YONA A, et al. Parameter identification of wind turbine for maximum power point tracking control[C]// Proceedings of International Conference on Electrical Machines and Systems, October 8-11, 2007, Seoul, South Korea: 248-252.
  • 9THOMSEN S, ROTHENHAGEN K, FUCHS F W. Online parameter identification methods for doubly fed induction generators[C]// Proceedings of IEEE Power Electronics Specialists Conference, June 15-19, 2008, Rhodes, Greece: 2735-2741.
  • 10IRIBAS-LATOUR M, LANDAU I D. Closed loop identification of wind turbines models for pitch eontrol [C]//Proceedings of the 17th Mediterranean Conference on Control Automation, June 24-26, 2009, Makedonia Palace, Thcssaloniki, Greece: 1263-1268.

二级参考文献9

共引文献52

同被引文献98

  • 1Yinfeng 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：23
  • 2吴俊玲,周双喜,孙建锋,陈寿孙,孟庆和.并网风力发电场的最大注入功率分析[J].电网技术,2004,28(20):28-32. 被引量：173
  • 3AKHMATOV 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.
  • 4Ad 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.
  • 5Fortmann 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.
  • 6Trilla 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.
  • 7Pedersen 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.
  • 8Brochu 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.
  • 9Langlois C E, Lefebvre D, Dubs L, et al. Developing a type-III wind turbine model for stability studies of the Hydro-Quebec network[C]//Proceedings of 8th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Farms. Bremen, Germany, 2009: 674-679.
  • 10Seman S, Niiranen J, Virtanen R, et al. Low voltage ride-through analysis of 2MW DFIG wind turbine-grid code compliance validations[C]//Proceedings of IEEE PESGeneralMeeting. Pittsburgh, USA, 2008: 1-6.

引证文献8

二级引证文献81

电力系统自动化
2012年 第14期

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