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首页> 外文期刊>Australian journal of electrical and electronics engineering >A hybrid control strategy to control active filter and improve the PQ of non-linear load
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A hybrid control strategy to control active filter and improve the PQ of non-linear load

机译:一种控制有源滤波器并改善非线性负载PQ的混合控制策略

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摘要

Nowadays, the power quality (PQ)-related issues are more absorbed in power electronic devices. For compensating PQ disturbances, various types of power devices are used. The shunt active power filter (SAPF) is one of the power electronics devices that are used for enhancing the PQ.To reduce the PQ disturbances, the performance of SAPF must be improved. In this paper, a hybrid controller is proposed for improving the performance of SAPF and compensating the PQ. The hybrid technique is the combination of cuckoo search algorithm and radial basis function neural network technique which is used for extracting the reference current for compensating the SAPF and reducing the PQ problem.The SAPF is used for reducing the harmonic disturbances.The DC-link voltage is regulated by utilizing the proposed hybrid controller technique. Subsequently, the Fast Fourier Transform analysis is used for measuring total harmonic distortion values of the proposed system. The proposed method is implemented in MATLAB/Simulink platform and its performance is evaluated.The performance of the proposed method is evaluated and compared with the proportional-integral controller and fuzzy controller.
机译:如今,与电能质量(PQ)相关的问题已在电力电子设备中得到了越来越多的关注。为了补偿PQ干扰,使用了各种类型的功率设备。并联有源电力滤波器(SAPF)是用于增强PQ的电力电子设备之一。为了减少PQ干扰,必须提高SAPF的性能。本文提出了一种混合控制器,以提高SAPF的性能并补偿PQ。混合技术是布谷鸟搜索算法和径向基函数神经网络技术的结合,用于提取参考电流以补偿SAPF和减少PQ问题.SAPF用于减少谐波干扰。通过利用提出的混合控制器技术来调节。随后,使用快速傅立叶变换分析来测量所提出系统的总谐波失真值。该方法在MATLAB / Simulink平台上实现,并对其性能进行了评估。对该方法的性能进行了评估,并与比例积分控制器和模糊控制器进行了比较。

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