Title :
An ANN-based network equivalent approach for power system on-line voltage security assessment
Author :
Chung, T.S. ; Ying, Fu
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech., Kowloon, Hong Kong
Abstract :
An artificial neural network (ANN) based external system equivalent approach is proposed for the online voltage security assessment of power systems in this paper. The proposed equivalent model is simple and can meet accuracy, computational and topological requirements. It has the ability of being updated by using ANN and may be used in real-time. Test results demonstrate that the new equivalent model is promising for the contingency analysis of power systems
Keywords :
equivalent circuits; neural nets; power system analysis computing; power system security; artificial neural network; computer simulation; contingency analysis; external system equivalent approach; power system online voltage security assessment; real-time; Artificial neural networks; Load flow; Multi-layer neural network; Neural networks; Power system analysis computing; Power system dynamics; Power system interconnection; Power system modeling; Power system security; Voltage;
Conference_Titel :
Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4754-4
DOI :
10.1109/ICPST.1998.729338
