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直驱永磁同步风力发电机灰色预测PI控制 被引量:2

Grey Prediction PI Control of Direct Drive Permanent Magnet Synchronous Wind Turbine
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摘要 随着高性能优质永磁材料的研发和大功率变流技术的发展,直驱式永磁同步风力发电机(D-PMSG)得到越来越多的应用,风电系统具有的时变性和非线性使得传统的控制方法很难取得令人满意的控制效果。为此,基于D-PMSG机侧PI控制,在最大功率点跟踪(MPPT)下,提出一种灰色预测与传统PI控制相结合的方法,搭建了包括D-PMSG和灰色预测PI控制器的风电控制系统仿真模型。仿真结果表明,与传统的PI控制相比,灰色预测PI控制具有响应更快、鲁棒性更好、超调量更小等优点。 With the development of high performance and high quality permanent magnet materials and the development of high-power converter technology,direct-drive permanent magnet synchronous wind turbines(D-PMSG) have been increasingly used.The time-varying and non-linear characteristics of wind power systems make it difficult for traditional control methods to achieve satisfactory control results.Under the maximum power point tracking(MPPT) control,a method that combines the grey prediction with the traditional PI control is proposed to control the dual-loop of the wind turbine side.The wind power control system simulation model which includes D-PMSG and grey predictive PI controller are built.Compared with the traditional PI control,the simulation results show that the gray prediction PI control has the advantages of faster response,better robustness,and smaller overshoot.
作者 王明东 何胜祥 李晓蕾 李忠文 WANG Ming-dong;HE Sheng-xiang;LI Xiao-lei;LI Zhong-wen(School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China;Henan Electric Power Company of State Grid,Zhengzhou 450046,China)
出处 《水电能源科学》 北大核心 2021年第5期189-192,共4页 Water Resources and Power
基金 国家自然科学基金项目(61803343) 河南省科技攻关项目(172102210012)。
关键词 直驱式永磁同步风力发电机 PI控制 灰色预测 双闭环控制 MPPT D-PMSG PI control grey prediction dual-loop control MPPT
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  • 1肖智宏,周晖,朱启晨.基于灰色预测控制算法的发电机最优励磁控制[J].电网技术,2006,30(5):81-85. 被引量:9
  • 2崔召辉,刘宪林,王明东,于继来.灰色预测励磁控制同步发电机动态过程仿真[J].继电器,2007,35(6):34-37. 被引量:6
  • 3莫娜,田建设.双模糊电力系统稳定器实现[J].电力自动化设备,2007,27(4):60-63. 被引量:4
  • 4LEE D C,BEAULIEU R E,SERVICE J R R. Power system stabilizer using speed and electrical power input:design and field experience[J]. IEEE Transactions on Power Apparatus and Systems, 1981,100(9) :4151-4157.
  • 5SAMARASINGHE V G,PAHALAWATHTHA N C. Stabilization of a multimachine power system using nonlinear robust variable structure control [J]. Electric Power Systems Research, 1997,43 (4):11-17.
  • 6PAHALAWATHA N C,HOPE G S,MALIK O P,et al. Real time implementation of MIMO adaptive power system stabilizer [J]. IEE Proceedings :Generation,Transmission and Distribution, 1990, 137(3) :186-194.
  • 7HUSSEIN T,SAAD M S,ELSHAFEI A L,et al. Damping inter- area modes of oscillation using an adaptive fuzzy power system stabilizer[J]. Electric Power Systems Research,2010,80(12): 1428-1436.
  • 8WANG Mingdong,LIU Xianlin,YU Jilai. Modified GA-based optimization design of fuzzy governor power system stabilizer for hydro generator unit[J]. Istanbul University-Journal of Electrical and Electronics Engineering,2008,8(2):607-616.
  • 9CHATURVEDI D K,MALIK O P. Generalized neuron-based adaptive PSS for multi-machine environment[J]. IEEE Transactions on Power Systems,2005,20( 1 ) :358-366.
  • 10LI Chienying,HUANG Tsongliang. Optimal design of the grey prediction PID controller for power system stabilizers by evolutionary programming[C]///Proceedings of the 2004 IEEE International Conference on Networking,Sensing & Control. Taipoi, China: IEEE, 2004-: 1370-1375.

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