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
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;
Conference_Titel :
Power Engineering Society Winter Meeting, 2000. IEEE
Print_ISBN :
0-7803-5935-6
DOI :
10.1109/PESW.2000.850071
