DSpace@nitr >
National Institue of Technology- Rourkela >
Conference Papers >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/836

Title: Parameter Estimation Techniques Applied to Power Networks
Authors: Subudhi, B
Ray, P K
Panda, A M
Mohanty, S R
Keywords: covariance matrices
least squares approximations
power system parameter estimation
Issue Date: 2008
Publisher: IEEE
Citation: IEEE Region 10 Conference TENCON, Hyderabad, November 19-21, 2008
Abstract: This paper represents the estimation of frequency which is an important power system parameter by several variant of recursive techniques. Estimation of frequency is not new as found in the literature such as Discrete Fourier Transformation, Least Mean Square Technique etc. In this paper we have implemented Recursive least square (RLS) and Extended Least square (ELS) for estimation of frequency. These are well known algorithms for their simplicity in computations and good convergence properties. Such algorithms require three step calculations with estimation of amplitude and phase followed by frequency. They are simple and attractive with the implementation of covariance matrix. Again the choice of covariance matrix is very crucial without which there might be delay in convergence for estimation of power system parameters. At the same time, feasibility of the above algorithms is tested with signal buried with noise. The above work can be extended for real time implementation, which wil...
URI: http://dx.doi.org/10.1109/TENCON.2008.4766507
http://hdl.handle.net/2080/836
Appears in Collections:Conference Papers

Files in This Item:

File Description SizeFormat
ray.pdf214KbAdobe PDFView/Open

Show full item record

All items in DSpace are protected by copyright, with all rights reserved.

 

Powered by DSpace Feedback