Title :
An artificial neural-net based method for estimating power system dynamic stability index
Author_Institution :
Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan
Abstract :
The author presents an artificial neural net based method for evaluating power system dynamic stability. An adaptive pattern recognition technique is utilized to estimate an index for power system dynamic stability so that computational efforts are reduced and numerical instability problems are avoided. The proposed method is based on a multi-layer feedforward perceptron
Keywords :
feedforward neural nets; pattern recognition; power engineering computing; power system stability; adaptive pattern recognition technique; multi-layer feedforward perceptron; power system dynamic stability index; Artificial neural networks; Backpropagation; Eigenvalues and eigenfunctions; Pattern recognition; Power system dynamics; Power system harmonics; Power system security; Power system stability; Power system transients; Power systems;
Conference_Titel :
Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0065-3
DOI :
10.1109/ANN.1991.213510
