.png){kind=icon}
返回
A simple and fast algorithm for measuring power system frequency
.png){kind=icon}
PRE
AI
DOI：10.1016/j.measurement.2022.111673.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The article presents a new, discrete-time algorithm for measuring power system frequency. The developed algorithm is based on the linear prediction of samples filtered in a low-pass digital filter with a finite impulse response. Properties of the new algorithm have been compared with properties of known algorithms from the literature, such as the cubic zero-crossing, iterative least squares, DFT-based Prony, revised three-level DFT and selected algorithm based on interpolated DFT. Simulation and experimental studies have been carried out. During the research, among others, the influence of noise, harmonics and interharmonics and time changes of frequency have been analysed. The obtained test results present better properties of the developed algorithm in relations to the compared algorithms. The developed algorithm is characterized by a simple structure, high resistance to noise occurring in the analysed signal and speed of operation in response to changes in the measured frequency.
Keyword:
FIR filter
Frequency estimation
Frequency measurement algorithm
Least squares method
Linear prediction
Power system
期刊
IF:
5.6
论文数:
2.1W
被引数:
5.4W
机构
引用论文
A fast, simple and accurate time-varying frequency estimation method for single-phase electric power systems.png)
MEASUREMENT
MEASUREMENTIF5.6
PREAI
分享收藏A novel Kalman filter for frequency estimation of distorted signals in power systems一种用于电力系统失真信号频率估计的新型卡尔曼滤波器
PREAI
分享收藏
分享收藏
查看更多内容