一种基于修正采样序列的傅里叶测频算法  被引量:4

A Fourier Frequency Measurement Algorithm Based on Modified Sampling Sequence

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作  者:剧晶晶 韩国政[1] 郑加健 JU Jing-jing;HAN Guo-zheng;ZHENG Jia-jian(School of Electrical Engineering and Automation,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250353,China)

机构地区:[1]齐鲁工业大学(山东省科学院)电气工程与自动化学院,济南250353

出  处:《齐鲁工业大学学报》2020年第6期44-49,共6页Journal of Qilu University of Technology

基  金:国家重点研发计划智能电网技术与装备重点专项(2016YFB0900600);国家电网公司科技项目(52094017000W)。

摘  要:针对电力系统中傅里叶测频算法的精度问题,本文提出的一种基于修正采样序列的傅里叶测频算法,通过对传统傅里叶算法的改进,消除了传统算法的理论误差,并利用修正采样序列和迭代的方法,使原始采样序列尽可能逼近理想序列,达到采样频率与系统基波频率趋于同步的目的,从而减小了频谱泄漏问题和栅栏效应。通过仿真分析,该算法有效提高了电力系统频率测量精度。Aiming at the accuracy of the Fourier frequency measurement algorithm,a Fourier frequency measurement algorithm is proposed in this paper based on the modified sampling sequence.By improving the traditional Fourier algorithm,the formula error of the traditional algorithm is eliminated.By modifying the sampling sequence and iterative methods,the original sampling sequence is as close to the ideal sequence as possible,so that the sampling frequency and the fundamental frequency of the system tend to be synchronized,thereby reducing the problem of spectrum leakage and the fence effect.Through simulation analysis,the algorithm effectively improves the frequency measurement accuracy.

关 键 词:频率测量 傅里叶算法 修正采样序列 相角差 

分 类 号:TM71[电气工程—电力系统及自动化]

 

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