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

Volume

19

Issue

10

fYear

1999

fDate

10/1/1999 12:00:00 AM

Firstpage

40

Lastpage

43

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;

fLanguage

English

Journal_Title

Power Engineering Review, IEEE

Publisher

ieee

ISSN

0272-1724

Type

jour

DOI

10.1109/39.795132

Filename

795132