A detailed tuning evaluation of sensitivity threshold using LNRT for bad data detection in state estimation

Author

Alamin, Abubeker ; Peng, Jimmy C.-H

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Masdar Inst. of Sci. & Technol., Abu Dhabi, United Arab Emirates

fYear

2015

fDate

1-4 Feb. 2015

Firstpage

1

Lastpage

4

Abstract

The sensitivity threshold, using largest normalized residual test, was often chosen based on past experience without proper technical understanding. Hence, the aim of this paper was to systematically investigate the variation of the sensitivity threshold when bad data of various magnitudes were individually injected into each measurement. Subsequently, the relationship between bad data and sensitivity threshold could be observed. Moreover, the relationship of sensitivity threshold with the redundancy of measurements were also analyzed. Two test cases were built using IEEE 14 bus test system. Simulations results demonstrated that minimum sensitivity threshold should not be fixed as is the case currently.

Keywords

IEEE standards; energy management systems; power systems; state estimation; IEEE 14 bus test system; LNRT; bad data detection; sensitivity threshold tuning evaluation; state estimation; Covariance matrices; Measurement uncertainty; Power systems; Redundancy; Sensitivity; State estimation; Bad data; largest normalized residual test (LNRT); power systems; sensitivity threshold; state estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

GCC Conference and Exhibition (GCCCE), 2015 IEEE 8th

Conference_Location

Muscat

Type

conf

DOI

10.1109/IEEEGCC.2015.7060099

Filename

7060099