Power system state estimation: Undetectable bad data

2013 ◽  
Vol 24 (1) ◽  
pp. 91-107 ◽  
Author(s):  
Raphael A. S. Benedito ◽  
Luís Fernando C. Alberto ◽  
Newton G. Bretas ◽  
João Bosco A. London
Keyword(s):  
Power System ◽  
State Estimation ◽  
System State ◽  
Power System State Estimation ◽  
Bad Data

Bad data detection in power system state estimation based on generalized likelihood ratio test

2016 ◽  
Vol 04 (04) ◽  
pp. 1650016 ◽  
Author(s):  
Zahid Khan ◽  
Radzuan B. Razali ◽  
Hanita Daud ◽  
Nursyarizal Mohd Nor ◽  
Mahmud Fotuhi-Firuzabad ◽  
...  
Keyword(s):  
Power System ◽  
State Estimation ◽  
Likelihood Ratio Test ◽  
Generalized Likelihood Ratio Test ◽  
Data Detection ◽  
Ratio Test ◽  
System State ◽  
Power System State Estimation ◽  
Bad Data Detection ◽  
Bad Data

Weight Set of State Estimation Based on Partition

2013 ◽  
Vol 347-350 ◽  
pp. 2077-2081
Author(s):  
Jia Yi Zang
Keyword(s):  
Power System ◽  
State Estimation ◽  
Great Influence ◽  
Local Area ◽  
The State ◽  
Estimation Result ◽  
System State ◽  
Power System State Estimation ◽  
Accuracy Of Measurement ◽  
Bad Data

In power system state estimation, bad data of local area can make state estimation difficult, and accuracy of measurement can also have great influence on the result of state estimation. Based on grid partition, this paper forms a lot of independent sub area, then measurement weights are adjusted using the state estimation result of sub area. This overcomes the defects of uniform weights distribution, and improves the accuracy of state estimation

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