DocumentCode
2118788
Title
Application of a reduced model to a distributed state estimator
Author
Korres, G.N. ; Contaxis, G.C.
Author_Institution
Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
Volume
2
fYear
2000
fDate
2000
Firstpage
999
Abstract
The available state estimators (SE) in control centers utilize the entire network and set of measurements. An alternative option would be to have two SE levels: (i) the first level at the company or regional control center; (ii) the second level at the pool or system wide control center. In this paper a distributed state estimator (DSE) is presented based on the following principles: (i) two-level state estimation; (ii) distributed observability analysis; and (iii) distributed bad data processing. The method is based on the reduced model developed by the authors. The DSE is illustrated with the IEEE 14-bus system
Keywords
observability; power system control; power system state estimation; reduced order systems; IEEE 14-bus system; control centers; distributed bad data processing; distributed observability analysis; distributed state estimator; reduced model; regional control center; two-level state estimation; Area measurement; Data analysis; Data processing; Jacobian matrices; Noise measurement; Observability; Power measurement; Power system modeling; State estimation; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society Winter Meeting, 2000. IEEE
Print_ISBN
0-7803-5935-6
Type
conf
DOI
10.1109/PESW.2000.850074
Filename
850074
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