Title :
Frequency Estimation: A Least-Squares New Approach
Author :
Abdollahi, Ali ; Matinfar, Farhad
Author_Institution :
Dept. of Power Syst. Control & Dispatching, Niroo Res. Inst., Tehran, Iran
fDate :
4/1/2011 12:00:00 AM
Abstract :
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.
Keywords :
frequency estimation; least squares approximations; power engineering computing; power systems; data window size; demodulation approach; estimation accuracy; least-squares method; online power system frequency estimation; sampling frequency; Analog-to-digital converter (ADC) offset; Gaussian noise; bandpass filter; data-window size; decaying dc; frequency estimation; harmonic distortion; interharmonic; least-squares method; processing time; response time; sampling frequency;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2010.2090177