Title :
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
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;
Conference_Titel :
GCC Conference and Exhibition (GCCCE), 2015 IEEE 8th
Conference_Location :
Muscat
DOI :
10.1109/IEEEGCC.2015.7060099
