Title :
Bad data validation on the basis of a posteriori analysis
Author :
Pazderin, A.V. ; Kochneva, Elena S.
Author_Institution :
Automated Electr. Syst. Dept., Ural Fed. Univ. named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russia
Abstract :
Reliability of metering information is very important. There are different mathematical methods of measurement data verification. Large quantity of the bad data identification techniques are proposed to identify low precision measurements. These methods are developed as a part of the state estimation problem to calculate the steady state on the basis of telemetry data. A new approach to the calculation of state variables vector is proposed. A posteriori algorithm of bad data validation is described in details. The example of bad data detection for test scheme is considered.
Keywords :
energy measurement; maximum likelihood estimation; power meters; power system reliability; smart meters; state estimation; bad data detection; bad data identification technique; bad data validation posteriori algorithm; measurement data verification mathematical method; metering information reliability; posteriori algorithm; state estimation; state variable vector; telemetry data; Energy measurement; Equations; Mathematical model; Measurement uncertainty; State estimation; Telemetry; Weight measurement; Bad data detection; Electric energy metering complex; Energy flow problem; Observability; State estimation;
Conference_Titel :
Energy Conference (ENERGYCON), 2014 IEEE International
Conference_Location :
Cavtat
DOI :
10.1109/ENERGYCON.2014.6850456