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弱电网下LCL型APF强鲁棒性控制方法

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由于有源阻尼中数字控制器存在延时,导致滤波器的谐振频率在弱电网下因电网阻抗变化偏移时控制系统极易发生不稳定,因此提出一种弱电网下LCL型有源电力滤波器强鲁棒性控制方法.该方法在传统电容电流反馈有源阻尼的基础上将前馈点前移至电流控制器输入端,在此基础上改进电流控制器的结构,将有源阻尼控制器和电流环控制器相结合,设计了一个复合控制器,根据朱利判据和奈奎斯特稳定性判据推导系统的稳定性约束条件,以实现复合控制器的参数设计,保障系统在弱电网下的强鲁棒性.仿真和实验结果表明,根据所提方法设计的LCL型有源电力滤波器能有效补偿电网中的谐波电流,从而保证控制系统对电网阻抗变化的强鲁棒性.
Strong Robust Control Method for LCL-Type APF Under Weak Grid
The existence of delay in the digital controller in active damping causes the control system to be highly susceptible to instability when the resonant frequency of the filter is shifted due to changes in the grid impedance under a weak grid.A strong robust control method of the LCL-type active power filter under the weak grid is proposed,which is based on the traditional capacitor-current-feedback active damping,and the feed-forward point is moved forward to the input of the current controller,and the structure of the current controller is improved based on which the active damping controller and the current-loop controller are combined to obtain a composite controller.On the basis of this method,the structure of the current controller is improved,and a composite control-ler is obtained by combining the active damping controller and the current loop controller.The stability constraints of the system are deduced based on the Juli's criterion and the Nyquist's stability criterion,in order to realize the parameter design of the composite controller and guarantee the strong robustness of the system under the weak power grid.Simulation experiments show that the LCL-type active power filter designed according to the proposed method can effectively compensate the harmonic currents in the grid and can guarantee the strong robustness of the control system to the grid impedance changes of the grid.

active power filtersweak power gridactive dampingcomposite controllerrobustness

刘可、赵正奎、张文倩、韩俊、刘禹彤

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国网青海省电力公司电力科学研究院,西宁 810008

青海大学能源与电气工程学院,西宁 810016

有源电力滤波器 弱电网 有源阻尼 复合控制器 鲁棒性

2024

南方电网技术
南方电网科学研究所有限责任公司

南方电网技术

CSTPCD北大核心
影响因子:1.42
ISSN:1674-0629
年,卷(期):2024.18(12)