计算
最小二乘函数近似
算法
谐波
噪音(视频)
解调
采样(信号处理)
估计理论
数学
估计
非线性最小二乘法
计算机科学
统计
滤波器(信号处理)
工程类
人工智能
电信
物理
频道(广播)
图像(数学)
量子力学
估计员
计算机视觉
系统工程
作者
Ali Abdollahi,Farhad Matinfar
标识
DOI:10.1109/tpwrd.2010.2090177
摘要
A new algorithm based on the least-squares method is proposed for online power system frequency estimation. The algorithm is based on a formula which holds for every three consecutive samples. Several of these formulae are written for some consecutive triples of samples and the least-squares method is applied to estimate the frequency. A revised version of the approach with less computation burden at the cost of little decline in estimation accuracy is presented. Response time and processing time of the algorithm are discussed. The effect of data window size, sampling frequency, noise, harmonic, interharmonic, exponentially decaying dc, and filtering on the performance of the approach is discussed. The approach is compared with that of a recent similar paper and a demodulation approach.
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