On-line voltage stability monitoring using artificial neural network

Author

Chakrabarti, Saikat ; Jeyasurya, B.

Author_Institution

Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada

fYear

2004

fDate

28-30 July 2004

Firstpage

71

Lastpage

75

Abstract

This paper proposes a scheme for on-line voltage stability monitoring using artificial neural network (ANN) and a systematic way for training the ANN. Separate ANNs are used for different contingencies and for different load levels under the same contingency. Results of contingency analysis are used along with principal component analysis (PCA) to choose important input features to train the ANN. Implementation of the feature selection scheme enhances the overall usefulness of the neural network. The proposed scheme is applied on the New England 39-bus power system model.

Keywords

electric potential; neural nets; power engineering computing; power system measurement; power system stability; principal component analysis; artificial neural network; online voltage stability monitoring; power system model; principal component analysis; Artificial neural networks; Monitoring; Power system analysis computing; Power system measurements; Power system modeling; Power system planning; Power system stability; Principal component analysis; Stability analysis; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering, 2004. LESCOPE-04. 2004 Large Engineering systems Conference on

Print_ISBN

0-7803-8386-9

Type

conf

DOI

10.1109/LESCPE.2004.1356271

Filename

1356271