摘要
提出了一种基于离散M eyer小波和数字微分的电力系统频率及其谐波频率的测量算法。首先利用离散M eyer小波来构造一组低通和高通滤波器,从含有高次谐波的非线性信号中分解出基波分量和高次谐波分量。根据分解出的基波分量和高次谐波分量具有纯正正弦波这一特性来构建相应的基波和谐波信号,然后利用数字微分对基波分量和各次谐波分量的频率进行测算。仿真数据结果表明,这种算法具有计算量小、耗时短、精度高和动态性能好等特点。
A discrete Meyer wavelet and numerical differentiation based algorithm for fundamental frequency and high order harmonic frequency estimation of power systems is presented in this paper.Discrete Meyer wavelet is first employed to construct a set of low-pass and high-pass filters,with an aim of decomposing the fundamental component and other high order harmonic frequency out of the measured non-sinusoidal signals in approximate pure sinusoidal waveform,and then numerical differentiation is used to estimate the frequency of the fundamental and harmonics of power systems.The simulated results show that the proposed algorithm is characteristic of lesser computation,lesser time,high accuracy and good dynamics.
出处
《电力科学与工程》
2010年第8期14-18,共5页
Electric Power Science and Engineering
基金
国家自然科学基金项目(50767001)
国家高技术研究发展计划(863计划)项目(2007AA04Z197)
高等学校博士学科点专项科研基金课题(课题编号:20094501110002)
广西高校百名中青年学科带头人资助计划项目(RC20060808002)
广西壮族自治区教育厅科研项目(200808MS150)
广西壮族自治区研究生教育创新计划项目(105930901001
105930904068)
关键词
电力系统
频率估算
谐波频率
小波变换
数字微分
power systems
frequency estimation
harmonic frequency
wavelet transform
numerical differentiation
