Title :
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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005492
