Observability Analysis, State Estimation & Bad DataDetection For Power System Using Measured Data

Manjula S. Sureban*, Shekhappa G. Ankaliki **
* P.G. Scholar, Department of Electrical and Electronics Engineering, SDM College of Engineering & Tech, Dharwad, India.
** Professor, Department of Electrical and Electronics Engineering, SDM College of Engineering & Tech, Dharwad, India.
Periodicity:August - October'2014
DOI : https://doi.org/10.26634/jps.2.3.3030

Abstract

This paper presents a simple algorithm for the Static State Estimation of a Power System. The proposed algorithm makes use of the Weighted Least Square Estimation techniques to estimate the Static State of Power System and hence to analyse the observability of the power system network. Concept of Chi-square test is used to detect the presence of bad measurements in the available data. Developed algorithm is demonstrated for sample 2 bus system.

Keywords

State Estimation, Observability Analysis, Bad Data, Chi-square Test, Weighted Least Square Estimation.

How to Cite this Article?

Sureban, S. M., and Ankaliki, S. G. (2014). Observability Analysis, State Estimation & Bad Data Detection For Power System Using Measured Data. i-manager’s Journal on Power Systems Engineering, 2(3), 22-27. https://doi.org/10.26634/jps.2.3.3030

References

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