[1]蒲小丽,王丽平.基于共轭梯度分解算法的电网谐波估计[J].计算机技术与发展,2013,(02):202-206.
　PU Xiao-li,WANG Li-ping.Power System Harmonics Estimation Based on Conjugate Gradient Decomposition Algorithm[J].,2013,(02):202-206.
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基于共轭梯度分解算法的电网谐波估计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年02期
页码:
202-206
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Power System Harmonics Estimation Based on Conjugate Gradient Decomposition Algorithm
文章编号:
1673-629X（2013）02-0202-05
作者:
蒲小丽; 王丽平
南京航空航天大学 理学院
Author(s):
PU Xiao-li; WANG Li-ping
关键词:
奇异值分解; 共轭梯度分解; 快速傅立叶变换; 谐波估计; 线性极小二乘方法
Keywords:
singular value decomposition; conjugate gradient decomposition; the fast Fourier transform (FFT); harmonics estimation; linear least squares method
文献标志码:
A
摘要:
快速准确地对电网信号的谐波进行检测与估计,对提高现代电力系统的工作效率有重要意义.传统的快速傅立叶变换(FFT)方法速度较快,但精度不高.近年来,很多学者将谐波估计归结为一个线性极小二乘问题,并用奇异值分解(SVD)算法求解.这类方法虽然提高了精度,但奇异值分解的计算量较大,尤其大规模问题,不能达到“即时”的要求.文中基于共轭梯度分解(CGD)方法对电网中的信号进行谐波估计,不仅降低了SVD算法的计算量,同时提高了FFT的精度,并能应用到严重畸变的定期信号的估计上.初步实验结果验证了该方法的有效性
Abstract:
It is significant to detect and estimate the harmonics of signal for improving the efficiency of the power system quickly and ac-curately. The traditional FFT method is fast,but the precision is not good. Recently,many new methods are proposed,which results in a linear least square problem,which is solved by singular value decomposition (SVD) algorithm. This kind of method improves the preci-sion,but when dealing with the large scale problems,it can not achieve the"instant" requirement because of the large amount of calcula-tion of singular value decomposition. In this paper,use the conjugate gradient decomposition (CGD) algorithm to estimate the harmonics of signals in power system,it not only reduces the computation of SVD algorithm,but also improves the precision of FFT,and can be ap-plied to the serious distortion of periodic signal estimation. The numerical simulation results indicate that the algorithm is effective

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更新日期/Last Update: 1900-01-01