引用本文: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,2021,49(18):119-127
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基于ACPI的风力发电系统MPPT控制方法
苏 杰,曾喆昭
(长沙理工大学电气与信息工程学院,湖南 长沙 410076)
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。
关键词:  风力发电  最大功率跟踪  自耦PI控制  总和扰动  鲁棒稳定性
DOI:DOI: 10.19783/j.cnki.pspc.201481
分类号:
基金项目: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
SU Jie, ZENG Zhezhao
(School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410076, China)
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).
Key words:  wind power generation  maximum power point tracking  autocoupled PI control  total disturbance  robust stability
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