TY - JOUR
T1 - Generalization of transient stability solution using neural network theory
AU - Ikenono, Katsumi
AU - Iwamoto, Shinichi
PY - 1992
Y1 - 1992
N2 - This paper presents a generalized online transient stability solution technique using the backpropagation method of the neural network theory. The proposed solution technique can be used for general generator models, including controllers such as AVRs and governors, that have been difficult for the energy function method to handle. The proposed method also considers alterations of network configurations and changes of the number of operating generators. Further, the relationship between input data and effects on the results of the neural network is considered.
AB - This paper presents a generalized online transient stability solution technique using the backpropagation method of the neural network theory. The proposed solution technique can be used for general generator models, including controllers such as AVRs and governors, that have been difficult for the energy function method to handle. The proposed method also considers alterations of network configurations and changes of the number of operating generators. Further, the relationship between input data and effects on the results of the neural network is considered.
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U2 - 10.1002/eej.4391120308
DO - 10.1002/eej.4391120308
M3 - Article
AN - SCOPUS:84989521546
VL - 112
SP - 72
EP - 79
JO - Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
JF - Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
SN - 0424-7760
IS - 3
ER -