A Modified Least Mean Square Technique for Harmonic Elimination

Buddhadeva Sahoo, S. Routray, P. Rout
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引用次数: 2

Abstract

A modified least mean square (MLMS) technique-based shunt active filter is proposed for selective harmonic elimination in a grid integrated nonlinear system applications. To provide a better and cost-effective solution, a reduced switch voltage source inverter (RSVSI) is used for a three-phase active filter operation. In addition to that, for better power quality, a MLMS technique is applied to separate the positive and negative sequence components from the non-linear load current. The MLMS technique improves its performance by estimating the appropriate current error through an adaptive step size selection. To validate the MATLAB/Simulink designed the proposed approach, different test conditions are presented. From the comparative analysis, the proposed system shows that the implementation of the novel technique leads to a substantial gain in the signal to noise ratio, by which the distribution system reduces the output error and significantly improved the convergence speed through an adaptive harmonic cancellation.
一种改进的最小均方谐波消除技术
提出了一种基于改进最小均方(MLMS)技术的并联有源滤波器,用于电网综合非线性系统的选择性谐波消除。为了提供更好的和具有成本效益的解决方案,降低开关电压源逆变器(RSVSI)用于三相有源滤波器操作。此外,为了获得更好的电能质量,采用MLMS技术从非线性负载电流中分离正、负序分量。MLMS技术通过自适应步长选择来估计适当的电流误差,从而提高了其性能。为了验证MATLAB/Simulink设计的方法,给出了不同的测试条件。对比分析表明,新技术的实施使配电系统的信噪比有了较大的提高,通过自适应谐波对消减小了输出误差,显著提高了收敛速度。
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