Transient stability control decision by compound neural network

Author

Liu, Yutian ; Lin, Fei ; Chu, Xiaodong

Author_Institution

Sch. of Electr. Eng., Shandong Univ., Jinan, China

Volume

1

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

328

Lastpage

332

Abstract

A compound neural network based method to coordinate the transient stability control decision in power systems is proposed. The stability classifying part adopts a fuzzy competitive radial basis function network while a fuzzy competitive back-propagation network is applied to realize the function approximation for load-shedding. The simulation results of a practical power system demonstrate that the two-level compound neural network proposed can effectively coordinate the control decision of generator-tripping and load-shedding for power system transient stability

Keywords

backpropagation; function approximation; fuzzy neural nets; load shedding; neurocontrollers; power system control; power system transient stability; radial basis function networks; compound neural network; function approximation; fuzzy competitive backpropagation network; fuzzy competitive radial basis function network; fuzzy neural networks; generator-tripping; load-shedding; power system transient stability; Control systems; Function approximation; Neural networks; Power generation; Power system control; Power system simulation; Power system stability; Power system transients; Power systems; Radial basis function networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on

Conference_Location

Honolulu, HI

ISSN

1098-7576

Print_ISBN

0-7803-7278-6

Type

conf

DOI

10.1109/IJCNN.2002.1005492

Filename

1005492