基于ACPI的风力发电系统MPPT控制方法
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(长沙理工大学电气与信息工程学院,湖南 长沙 410076)

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苏 杰(1996—),男,硕士研究生,研究方向为智能控制;E-mail: 1396657361@qq.com 曾喆昭(1963—),男,通信作者,博士,教授,研究方向为智能计算与智能控制。E-mail: 508984293@qq.com

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湖南省教育厅重点项目资助(17A006)


Maximum power point tracking based on auto-coupling PI control for a wind power generation system
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(School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410076, China)

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    摘要:

    针对直驱永磁同步风力发电系统存在非线性、参数不确定性以及转矩扰动等问题,研究了一种基于自耦PI控制理论的最大功率跟踪控制方法。该方法以转速跟踪为目标,将发电机内部动态与外部输入转矩的不确定性定义为一个总和扰动,从而将非线性不确定系统映射为未知线性系统,并构建了一个在总和扰动反相激励下的受控误差系统。据此设计了基于误差速度因子的自耦PI控制器模型,理论分析了自耦PI闭环控制系统的鲁棒稳定性和抗扰鲁棒性。仿真结果表明了该控制方法能稳定保持最大功率系数,在风力发电系统的最大功率跟踪领域具有良好的应用前景。

    Abstract:

    There are problems of nonlinearity, uncertainty parameters and torque disturbance in direct drive permanent magnet synchronous wind power generation systems. Thus a maximum power point tracking control method based on auto-coupling PI control theory is studied. Aiming at speed tracking, the uncertainty of internal dynamics and external input torque of a generator is defined as a total disturbance, and the nonlinear uncertain system is mapped to an unknown linear system, and a controlled error system under the inverse excitation of the total disturbance is constructed. Based on that, an auto-coupling PI controller model based on the error speed factor is designed, and the robust stability and anti-disturbance robustness of the autocoupled PI closed-loop control system are analyzed theoretically. Finally, the simulation results show that the proposed control method can maintain the maximum power factor in a stable fashion. This approach has a good prospect for application in the field of maximum power tracking of a wind power generation system. This work is supported by the Key Project of Hunan Education Department (No. 17A006).

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苏 杰,曾喆昭.基于ACPI的风力发电系统MPPT控制方法[J].电力系统保护与控制,2021,49(18):119-127.[SU Jie, ZENG Zhezhao. Maximum power point tracking based on auto-coupling PI control for a wind power generation system[J]. Power System Protection and Control,2021,V49(18):119-127]

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  • 收稿日期:2020-11-30
  • 最后修改日期:2021-03-27
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  • 在线发布日期: 2021-09-14
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