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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1045

Title: A Comparative Study on Different Power System Frequency Estimation Techniques
Authors: Subudhi, B
Ray, P K
Mohanty, S R
Panda, A M
Keywords: ELS technique
extended least square technique
KF
Kalman
LMS technique
least mean square technique
covariance matrix
correlation matrix
system structure matrix
observation vector
frequency estimation
power system parameters
Issue Date: 2009
Publisher: Inderscience
Citation: International Journal of Automation and Control, Volume 3, Nos. 2/3, 2009
Abstract: This paper presents the estimation of frequency which is an important power system parameter by Extended Least Square (ELS) technique.The above technique is validated by comparing its performance with the existing techniques such as Kalman Filter (KF) and Least Mean Square (LMS) technique, etc. Using different simulation studies with signals having different signal to noise ratio values and with step change in frequency, it is observed that ELS technique outperforms over LMS and KF methods on power system frequency estimation. Initialisation of covariance matrix in KF method and complicacy due to incorporation of correlation matrix in LMS algorithm affect their convergence. But ELS algorithm becomes very simple and attractive due to the absence of covariance and correlation matrix.
URI: http://hdl.handle.net/2080/1045
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