基于改进LMS算法的谐波电流检测
摘要:为了提升谐波电流的检测效果，使有源滤波器(active power filter，APF)能更好地消除谐波，首先在APF的基础上，采用固定步长最小均方算法(least mean square，LMS)的同时嵌入低通滤波器进行自适应谐波电流检测，然后采用麻雀搜索算法(sparrow search algorithm，SSA)对滤波的参数进行改进，接着通过改变负载参数值，来验证改进后的LMS算法在负载取不同值下同样适用，最后使用Matlab搭建仿真模型，并在模型中对比了固定步长LMS算法、SSA算法、粒子群算法(particle swarm optimization，PSO)这3种不同方法改进滤波参数的仿真效果，仿真结果表明使用SSA算法来优化参数效果最好，可使流经电网的电流达到只有基波电流的水平，并将电流的总谐波失真率降低到5%以下，满足IEEE标准，使电流的谐波含量降低，系统更加稳定，同时也表明了该方法的适用性和可行性。
Abstract：In order to improve the detection effect of harmonic current and enable the active filter (APF) to better eliminate harmonics, this paper firstly uses a fixed-step minimum least mean square (LMS) algorithm on the basis of APF and embeds a low-pass filter. Then use the sparrow search algorithm (SSA) to improve the filtering parameters, and then change the load parameter value to verify that the improved LMS algorithm is also applicable under different load values, and finally by using Matlab a simulation model was built, and the three different methods of fixed-step LMS algorithm, SSA algorithm, and particle swarm algorithm (PSO) were compared in the model to improve the simulation effect of filtering parameters. The simulation results show that the SSA algorithm is used to optimize the parameters. It can make the current flowing through the power grid reach the level of only the fundamental current, and reduce the total harmonic distortion (THD) of the current to less than 5%, which meets the IEEE standard, reduces the harmonic content of the current, and makes the system more stable. The applicability and feasibility of the method are also shown.
标题：基于改进LMS算法的谐波电流检测
title:Harmonic Current Detection Based on Improved LMS Algorithm
作者：李乾坤,刘毅力,刘圣荇
authors:LI Qiankun,LIU Yili,LIU Shengxing
关键词：谐波检测,最小均方(LMS)算法,麻雀搜索(SSA)算法,基波电流,
keywords:harmonic detection,least mean square (LMS) algorithm,sparrow search algorithm (SSA),fundamental current,
发表日期：2022-12-19
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