DocumentCode
2118702
Title
An innovative fast voltage security assessment based on a hybrid ANN external equivalent approach
Author
Ying, Fu ; Chung, T.S.
Author_Institution
Dept. of Electr. Eng., Hong Kong Polytech., Kowloon, China
Volume
2
fYear
2000
fDate
2000
Firstpage
987
Abstract
This paper presents an innovative hybrid artificial neural network (ANN) and Ward-type equivalent approach for fast on-line voltage security assessment of power systems. The proposed approach possesses the simple properties of the Ward equivalent method and can match on-line the boundary injection by using ANN. The effectiveness of the proposed method is demonstrated on a 59-bus test system and the results are encouraging
Keywords
neural nets; power system analysis computing; power system dynamic stability; power system security; 59-bus test system; Ward equivalent method; Ward-type equivalent approach; boundary injection; fast on-line voltage security assessment; fast voltage security assessment; hybrid ANN external equivalent approach; power systems; Artificial neural networks; Hybrid power systems; Power system analysis computing; Power system dynamics; Power system interconnection; Power system modeling; Power system security; Power system stability; Steady-state; 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.2000.850071
Filename
850071
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