基于欧拉-拉格朗日模型的有源电力滤波器非线性无源控制新算法

Zhenhuan Zhang, Huijin Liu, Xiaoli Liu
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引用次数: 5

摘要

有源电力滤波器(APF)在电力系统中的性能和应用与控制策略密切相关。基于有源滤波器的欧拉-拉格朗日(EL)动态平均模型,提出了一种新的非线性无源有源滤波器算法。首先,利用代入定理和EL系统理论确定了APF的EL动态平均表达式;其次,根据无源理论和给出的EL平均模型,提出了基于无源的有源滤波器反馈控制律和整体控制目标,保证了有源滤波器的稳定性,实现了渐近指令跟踪;最后,针对直流侧电容电压纹波分量难以估计的问题,提出了忽略纹波分量的改进控制算法。仿真结果验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Nonlinear Passivity-Based Control Algorithm for Active Power Filter Using Euler-Lagrange Model
The performance and application of active power filter (APF) in power system is closely linked to the control strategy. The paper proposes a novel nonlinear passivity-based algorithm for APF based on Euler-Lagrange (EL) dynamic averaged model of APF. Firstly, the EL dynamic averaged expressions of APF are determined in terms of substitution theorem and EL system theory. Secondly, according to passivity theory and EL averaged model presented, the passivity-based feedback control laws and the whole control objectives of APF arc proposed, which can guarantee the stability and achieve asymptotically command tracking. Lastly, in order to overcome the difficulty in estimating the ripple component on dc-side capacitor voltage, the modified control algorithm is proposed by neglecting the ripple component. Simulation results arc presented to verify the validity of the proposed algorithm.
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