Title :
A fast voltage security assessment method via extended Ward equivalent and neural network approach
Author :
Chung, T.S. ; Fu, Yi-Shiang
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech., Kowloon
fDate :
10/1/1999 12:00:00 AM
Abstract :
This letter presents a hybrid approach employing a neural network and the extended Ward-type equivalent method for fast online voltage security assessment of a large power system. The boundary equivalent power injection can be matched quickly by using the proposed approach. Simulation results demonstrate that the new equivalent model results in an excellent external system response to contingencies in the internal system
Keywords :
neural nets; power system analysis computing; power system security; boundary equivalent power injection; extended Ward equivalent; external system response; fast online voltage security assessment; fast voltage security assessment method; internal system contingencies; large power system; neural network approach; Artificial neural networks; Hybrid power systems; Multi-layer neural network; Neural networks; Power system analysis computing; Power system modeling; Power system security; Power system simulation; Real time systems; Voltage;
Journal_Title :
Power Engineering Review, IEEE
