DocumentCode :
1560028
Title :
Application of a robust algorithm for dynamic state estimation of a power system
Author :
Shih, Kuang-Rong ; Huang, Shyh-Jier
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume :
17
Issue :
1
fYear :
2002
fDate :
2/1/2002 12:00:00 AM
Firstpage :
141
Lastpage :
147
Abstract :
In this paper, a computation algorithm using the exponential function to increase the robustness of the dynamic state estimation is proposed. The merit of this approach lies in its immunity to the polluted measurements, while the implementation of the method is not complicated when compared with other methods. To validate the effectiveness of the proposed method, it was tested through several example power systems under different scenarios that include normal operation, bad measurements, sudden load change, and topology error conditions. From test results, they help support the feasibility of the method for state estimation applications
Keywords :
power system state estimation; bad measurements; dynamic state estimation; normal operation; polluted measurements; power system; robust algorithm; sudden load change; topology error conditions; Covariance matrix; Economic forecasting; Heuristic algorithms; Jacobian matrices; Pollution measurement; Power system dynamics; Power system measurements; Power systems; Robustness; State estimation;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.982205
Filename :
982205
Link To Document :
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