DocumentCode :
2065353
Title :
A pre-procedure of bad data detection for smart grid monitoring
Author :
Bei Gou ; Kavasseri, R.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Dakota State Univ., Fargo, ND, USA
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a pre-procedure to detect and identify gross errors including topology errors for state estimation in smart grid. This pre-procedure is characterized to be fast The key idea behind the procedure is the concept of a solving path, which avoids the chance of divergence when calculating system states using all the measurments in traditional state estimation algorithms. An integer linear programming (ILP) formulation is used to select the solving paths. After a solving path is identified, an error analysis procedure (immune to topology errors) is developed to detect, identify and eliminate gross measurement errors. The subsequent measurement set is used as input to the weighted least squares (WLS) state estimation. The proposed approach is illustrated on the IEEE 14 and 118 bus test systems.
Keywords :
error analysis; integer programming; least squares approximations; linear programming; measurement errors; phasor measurement; power system state estimation; smart power grids; IEEE 118 bus test systems; IEEE 14 bus test systems; bad data detection; error analysis; gross errors; gross measurement errors; integer linear programming; power system state estimation; smart grid monitoring; solving paths; topology errors; weighted least squares; Current measurement; Measurement uncertainty; Noise measurement; Phasor measurement units; State estimation; Topology; Voltage measurement; Integer Programming; Phasor Measurement Unit; Solving Path; State Estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6345554
Filename :
6345554
Link To Document :
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