| 引用本文: | 张静,徐政,牛卢璐.TLS-ESPRIT在电力系统信号高精度频谱估计中应用[J].电力自动化设备,2009,(5): |
| .Application of TLS-ESPRIT in high resolution spectrum estimation of power system signal[J].Electric Power Automation Equipment,2009,(5): |
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| 摘要: |
| 提出一种电力系统信号频谱估计方法,即基于总体最小二乘法一旋转不变技术的信号参数估计方法(TLS-ESPRIT).它是基于子空间的信号分析方法,具有较高的频率分辨率.直接以测量数据构成的Han-kel数据矩阵为基础,避免求取信号的相关矩阵,简化了计算.把信号空间分解为信号子空间和噪声子空间,能够使用较短的采样数据高精度地辨识信号的频谱信息.用包含谐波分量和间谐波分量的测试信号以及CIGRE直流输电标准测试系统进行仿真,结果验证了该方法在电力系统频谱估计中的有效性. |
| 关键词: 频谱估计 电能质量 总体最小二乘法 TLS-ESPRlT算法 子空间 |
| DOI： |
| 分类号:TM711 |
| 基金项目:国家科技支撑计划重大项目? |
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| Application of TLS-ESPRIT in high resolution spectrum estimation of power system signal |
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ZHANG Jing1 XU Zheng1 NIU Lulu2
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| Abstract: |
| A TLS-ESPRIT(Total Least Squares-Estimation of Signal Parameters via Rotational Invariance Techniques) based algorithm is proposed to estimate the spectra of the signals in power system,which is a subspace based method and has high frequency resolution.Based on the Hankel matrix directly formed with the sampled data,it decomposes the signal space into the signal and noise subspaces to identify the signal spectrum in high resolution,without relevance matrix calculation.Simulation is carried out with CIGRE HV... |
| Key words: spectrum estimation power quality TLS TLS-ESPRIT subspace |
