滑窗平均值的序分量检测算法研究  

Research on sequence component detection algorithm based on sliding-window mean-value

作　　者：张军[1] 郑常宝[1] 夏振武 

机构地区：[1]安徽大学电气工程与自动化学院,教育部电能质量工程研究中心,安徽合肥230601

出　　处：《安徽大学学报（自然科学版）》2014年第3期68-72,共5页Journal of Anhui University(Natural Science Edition)

基　　金：安徽省教育厅自然科学基金重点资助项目(KJ2011A024)

摘　　要：针对传统时域序分量检测算法的不足,在频域上提出一种基于滑窗平均值的Fourier分析算法.该算法通过对三相输入信号进行连续滑动平均加窗的Fourier运算,分解出基波相量的实部分量和虚部分量后,利用对称分量法计算基波相量的各序分量.由Matlab仿真结果可知,基于滑窗平均值的Fourier算法对序分量的检测,动态性能稳定,准确性和实时性高.Aiming at the shortcoming of traditional time domain sequence component detection algorithm, a kind of Fourier analysis algorithm of sliding-window mean-value in frequency domain was put forward. Symmetrical component method was used in calculating the sequence component of the fundamental phasor in this algorithm after using the calculation of continuous average sliding- window of Fourier analysis to separate the real component and the imaginary component of the fundamental phasor from three input signals. The Matlab simulation indicated that using sequence component detection algorithm based on sliding-window mean-value had high accuracy and satisfying real-time, dynamic performance stability.

关 键 词：滑窗平均值 FOURIER分析 对称分量法 MATLAB仿真 

分 类 号：TM933[电气工程—电力电子与电力传动]