Performance of Series Active Power Filter (SAPF) Using ANN Controller for Eliminate Disturbance of Voltage Sag

M. A. T. Mat Yusoh, A. F. Abidin, Faris Sutan Abd Latif Hamidi, Mohd Anuar Mohammed Ayub, M. Y. Mat Zain, Norziana Aminudin
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Abstract

The goal of this study is to use the Series Active Power Filter (SAPF) to mitigate voltage issues on the three-phase system in terms of voltage sag. The design and modeling of a three-phase SAPF for voltage compensation of non-linear loads are presented in this study. Simulations in MATLAB/Simulink are used to verify the performance of SAPF design using ANN controller and compared to the conventional PI controller. The concept of this technique is by inserting SAPF between the source and nonlinear load. Then, if the system has problem with voltage sag, the injection of harmonic voltages (vf) across the coupling transformer into voltage load in order to maintain the voltage load in normal condition. To maintain a clean sinusoidal voltage waveform across the nonlinear load, the injected harmonic voltages are added/subtracted to/from the source voltage. In this case, the ANN controller based on the back-propagation technique is applied to tune the appropriate parameters of controller during voltage sag issue. The result shows ANN controller is better than PI controller in term of percentage error of voltage sag and total harmonic distortion (THD).
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基于神经网络控制器的串联有源电力滤波器(SAPF)消除电压暂降干扰性能研究
本研究的目的是使用串联有源电力滤波器(SAPF)来缓解三相系统中电压凹陷的电压问题。本文介绍了一种用于非线性负载电压补偿的三相SAPF的设计和建模。通过MATLAB/Simulink仿真验证了采用人工神经网络控制器设计的SAPF的性能,并与传统PI控制器进行了比较。该技术的概念是通过在源和非线性负载之间插入SAPF。然后,如果系统出现电压暂降问题,则通过耦合变压器向电压负载注入谐波电压(vf),以维持电压负载处于正常状态。为了在非线性负载上保持一个干净的正弦电压波形,注入的谐波电压被加/减到源电压上。在这种情况下,采用基于反向传播技术的人工神经网络控制器在电压暂降时调整控制器的适当参数。结果表明,在电压暂降百分比误差和总谐波失真(THD)方面,人工神经网络控制器优于PI控制器。
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