scispace - formally typeset
Search or ask a question

Showing papers by "Soumya R. Mohanty published in 2008"


Journal ArticleDOI
TL;DR: In this paper, a cumulative-sum-based fault detection algorithm is proposed for the power system relaying application, where the deviation of parameters is tracked to indicate any abnormal conditions, and the effectiveness of the algorithm is found to be better than the traditional methods in the presence of noise, system frequency deviation and other uncertainties.
Abstract: In this paper, a cumulative-sum-based fault detection algorithm is proposed for the power system relaying application. Literature suggests the successful application of this method to process control systems where the deviation of parameters is tracked to indicate any abnormal conditions. The effectiveness of the algorithm is found to be better than the traditional methods in the presence of noise, system frequency deviation, and other uncertainties. It is also not affected by load change in a system. Above all, it provides relatively higher index values without compromising detection speed.

120 citations


Proceedings ArticleDOI
01 Nov 2008
TL;DR: Recursive least square and Extended Least square are implemented for estimation of frequency and can be extended for real time implementation, which will be immensely helpful for Modern Power System engineers.
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 will be immensely helpful for Modern Power System engineers.

11 citations