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基于风能转换系统的T-S模糊建模与控制 被引量:5

Wind Energy Conversion Systems Using T-S Fuzzy Modeling
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摘要 根据风能转换系统的状态方程,结合T-S模糊模型良好的局部线性的特点,建立了风能转换系统T-S模糊控制模型。然后针对新的风能转换系统模型设计了模糊控制器。仿真结果表明在额定风速以下,T-S模糊控制方法能够将风能转换系数控制在最优值0.476附近,叶尖速比也可以维持在最优值7附近,能够实现额定风速以下的最大风能捕获。 Combining with the state equation of wind energy conversion system(WECS) and fine part-linear characteristic of the T-S fuzzy model, a novel WECS model was proposed. A T-S fuzzy controller was designed based on the new T- S fuzzy model. The simulation resuhs demonstrate the feasibility of the proposed control method. With the T-S fuzzy con- troller,the wind energy capture ratio can be maintained around its optimal value (0. 476 ) and the tip speed ratio can be maintained around its optimal value(7) ,so it is feasible to maximize the wind energy capture below the rated wind speed,
机构地区 江南大学
出处 《微特电机》 北大核心 2011年第10期68-72,共5页 Small & Special Electrical Machines
基金 教育部新世纪优秀人才支持计划(NCET-10-0437)
关键词 风能转换系统 T-S模糊模型 模糊控制器 wind enersy conversion system T-S fuzzy model fuzzy controller
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参考文献10

  • 1林宗虎.风能及其利用[J].自然杂志,2008,30(6):309-314. 被引量:30
  • 2Steinbuch M. Dynamic Modeling and Robust Control of Wind Ener- gy Conversion System [ D ]. Delft University of technology, The Netherlands, 1990.
  • 3Munteanu I, Brarcu A I, Cutululis N-A. Optimal control of Wind Energy Systems [ M ]. London : Springer,2008:28-135, t50-158.
  • 4Chadli M, Hajjaji A El. Wind energy conversion systems control u- sing T-S fuzzy modeling[ C ]//18th Mediterranean Conference on Control & Automation, Marrakech, Morocco ,2010 : 1365 - 1370.
  • 5Takagi T, Sugeno M. Fuzzy identification of systems and ira appli- cations to modeling and control [ J]. IEEE Trans. on Systems, Man and Cybernetics, 1985,15 (2) : 116-132.
  • 6Mishra S, Misha U, Li F, et al. TS-Fuzzy Controlled DFIG Based Wind Energy Conversion Systems [ C ]//IEEE PES General Meet- ing. Calgary, Canada ,2009:978-984.
  • 7Bianchi F, Battista H, Mantz R. Wind Turbine Control Systems [ M ]. London : Springer, 2007.
  • 8迟永宁,王伟胜,刘燕华,戴慧珠.大型风电场对电力系统暂态稳定性的影响[J].电力系统自动化,2006,30(15):10-14. 被引量:267
  • 9Iulian Munteanu , Nicolaas Antonio Cutululis, Antoneta Iuliana Brat- cu ,et al. Optimization of variable speed wind power systems based on a LQG approach [J]. Control Engineering Practice, 2005,13 (7) :903-912.
  • 10Lian K Y,Liou J J,Huang C Y. LMI-Based Integral Fuzzy Con- trol of DC-DC Converters [ J]. IEEE Transactions on Fuzzy Sys- tems,2006,14( 1 ) :71-80.

二级参考文献17

  • 1伍小杰,柴建云,王祥珩.变速恒频双馈风力发电系统交流励磁综述[J].电力系统自动化,2004,28(23):92-96. 被引量:110
  • 2风能:当前能源开发的一大热点——中国风电发展的现状和未来[J].科技中国,2006(5):40-45. 被引量:4
  • 3王长贵,崔容强,周篁,主编.新能源发电技术[M].北京:中国电力出版社,2004.
  • 4SALMAN K, ANITA I. J. Windmill modeling consideration and factors influencing the stability of a grid. connected wind power-based embedded generator. IEEE Trans on Power Systems, 2003, 18(2): 793-802.
  • 5SENJYU T, SUEYOSHI N. Stability analysis of wind power generating system// Proceedings of the Power Conversion Conference, Apr 2 5, 2002, Osaka, Japan. 2002: 1441-1446.
  • 6TAMURA J, UENO M. Transient stability simulation of power system including wind generator by PSCAD/EMTDC//Proceedings of 2001 IEEE Porto Power Tech Conference:Vol4, Sep 10-13, 2001, Porto, Portugal. 2001: 5.
  • 7POLLER M. Doubly-fed induction machine models for stability assessment of wind farms// Proceedings of IEEE Power Tech Conference: Vol 3, Jun23-26, 2003, Bologna, Italy. 2003: 6.
  • 8AKHMATOV V. Analysis of dynamic behavior of electric power systems with large amount of wind power[D].Copenhagen, Denmark: Technical University of Denmark,2003.
  • 9KUNDER P. Power system stability and control. New York,NY, USA: McGraw-Hill, 1994.
  • 10POLLER M, ACHILLES S, MOODLEY G. Variable-speed wind-generator models for power system stability analysis//Proceedings of the 2nd World Wind Energy Conference, Nov 24-26, 2003, Cape Town, South Africa. 2003.

共引文献294

同被引文献36

  • 1吴金广,史金龙.基于灰色预测模型的传感器的故障诊断方法[J].电气自动化,2005,27(4):74-76. 被引量:2
  • 2孙金生,王执铨,李军.状态反馈控制系统的容错控制又一策略[J].控制理论与应用,1995,12(4):519-523. 被引量:6
  • 3HE Q N, SHEN Y X, JI L Y. Fault tolerant control strategy for nonlin- ear system based on feedback control [C] //Proceedings of the Amer- ican Control Conference. Piscataway, NJ: Insitute of Electrical and Electronics Engineers Inc, 2013:4897 -4902.
  • 4KAMAL E, AITOUCHE A, GHORBANI R, et al. Robust fuzzy fault- tolerant control of wind energy conversion systems subject to sensor faults [J]. IEEE Transactions on Sustainable Energy, 2012, 3(2): 231 - 241.
  • 5ZHANG Ke. Fault diagnosis and fault-tolerant control based on s- liding mode observer control system [D]. Nanjing: Nanjing Universi- ty of Aeronautics and Astronautics, 2007.
  • 6HONG C M, CHENG F S, CHEN C H. Optimal control for variable- speed wind generation systems using general regression neural net- work [J]. International Journal of Electrical Power & Energy Sys- tems, 2014, 9(60): 14 - 23.
  • 7CHEN W, SAIF M. An Iterative Learning observer for fault detection and accommodation in nonlinear time-delay systems [J]. Internation- al Journal of Robust and Nonlinear Control, 2006, 16(1): 1 - 19.
  • 8MUNTEANU I, BRATCU A I, CUTULULIS N A, et al. Optimal Control of Wind Energy Systems: Towards a Global Approach [M]. London: Springer, 2008:28 - 135, 150 - 158.
  • 9NICHITA C, LUCA D, DAKYO B, et al. Large band simulation of the wind speed for real time wind turbine simulators [J]. IEEE Trans- actions on Energy Conversion, 2002, 17(4): 523 - 529.
  • 10YAN Bingyong. Research on several methods of fault diagnosis non- linear systems and their applications [D]. Shanghai: Shanghai Jiao Tong University, 2010.

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二级引证文献29

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