Maximum power point tracking with nonlinear disturbance rejection control for DPMSG wind power generation system

被引:0
|
作者
Fang Y. [1 ]
Zeng Z. [1 ]
Liu Q. [1 ]
Wang K. [1 ]
机构
[1] School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha
关键词
Maximum power point tracking; Nonlinear disturbance rejection control; Nonlinear extended state observer; Nonlinear smoothing function; Permanent magnet synchronous generators; Wind power generation;
D O I
10.7667/PSPC180240
中图分类号
学科分类号
摘要
Considering the permanent magnet synchronous generators with nonlinear, uncertain internal parameters and external disturbances, a nonlinear disturbance rejection control method is proposed to achieve Maximum Power Point Tracking (MPPT) of direct-driven permanent magnet synchronous generators wind power generation system. The Nonlinear Extended State Observer (NLESO) and nonlinear disturbance rejection controller are designed based on a nonlinear smoothing function. NLESO is used to estimate the system disturbance and uncertainty and feed forward to the control input to achieve disturbance compensation, which enhances the disturbance rejection ability of the system. And the astringency of NLESO is analyzed. The simulation results show that the control method not only has the characteristics of fast response and high control accuracy, but also has no overshoot and no chattering phenomenon, so it has great application value in the MPPT control of wind power generation system. © 2019, Power System Protection and Control Press. All right reserved.
引用
下载
收藏
页码:145 / 151
页数:6
相关论文
共 24 条
  • [1] Li P., Qiu S., Li X., Et al., Sliding mode variable structure control technology used in doubly fed induction generation system, Proceedings of the CSU-EPSA, 29, 8, pp. 29-35, (2017)
  • [2] Deng X., Pan Q., Gao Q., Research on the modeling and simulation of permanent magnet direct-driven wind turbine rotor imbalance fault, Power System Protection and Control, 46, 4, pp. 35-40, (2018)
  • [3] Zheng D., Eseye A.T., Zhang J., Et al., Short-term wind power forecasting using a double-stage hierarchical ANFIS approach for energy management in microgrids, Protection and Control of Modern Power Systems, 2, 2, pp. 136-145, (2017)
  • [4] Liu D., Li Q., Feng C., A simulation study of small direct drive type permanent magnet synchronous generator fast maximum power tracking, Power System Protection and Control, 44, 5, pp. 141-145, (2016)
  • [5] Liu J., Meng H., Hu Y., Efficiency optimization of optimum torque maximum power point tracking based on gradient approximation for wind turbine generator system, Proceedings of the CSEE, 35, 10, pp. 2367-2374, (2015)
  • [6] Tian B., Zhao K., Sun D., Et al., Promoted variable step maximum power point tracking algorithm used in the wind energy conversion system, Transactions of China Electrotechnical Society, 31, 6, pp. 226-233, (2016)
  • [7] Li X., Xu H., Du Y., Maximum power tracking of wind power generation system using the combination of tip speed ratio method and climbing search method, Power System Protection and Control, 43, 13, pp. 66-71, (2015)
  • [8] Zhu Y., Cheng M., Hua W., Et al., Maximum power point tracking control for wind energy conversion systems considering loss torque, Proceedings of the CSEE, 33, 19, pp. 39-46, (2013)
  • [9] Kim K.H., Tan L.V., Lee D.C., Et al., Maximum output power tracking control in variable-speed wind turbine systems considering rotor inertial power, IEEE Transactions on Industrial Electronics, 60, 8, pp. 3207-3217, (2013)
  • [10] Mao J., Wu A., Wu G., Et al., Adaptive sliding mode MPPT control for PMSG-based wind energy conversion systems based on extended state observer, Power System Protection and Control, 42, 18, pp. 58-65, (2014)