Title :
Transient stability evaluation of electric power systems using a fuzzy Perceptron algorithm
Author :
Souflis, J.L. ; Machias, A.V. ; Papadias, B.C.
Author_Institution :
Dept. of Electr. Eng., Nat. Tech. Univ., Athens, Greece
Abstract :
The stability evaluation is performed rapidly by using a pattern recognition approach incorporating fuzzy membership functions. The algorithm is used to derive a classifier that classifies the system operating states as either stable or unstable. The feature selection is made by using a suitable function and a set of data representing the transient behavior of a network after the occurrence of specific large disturbances. The results obtained are illustrated by the analysis of a sample power system.<>
Keywords :
fuzzy set theory; pattern recognition; power system control; stability; transient response; classifier; electric power systems; feature selection; fuzzy Perceptron algorithm; pattern recognition; transient stability evaluation; Fuzzy systems; Pattern recognition; Performance evaluation; Power generation; Power system analysis computing; Power system dynamics; Power system planning; Power system stability; Power system transients; Transient analysis;
Conference_Titel :
Circuits and Systems, 1988., IEEE International Symposium on
Conference_Location :
Espoo, Finland
DOI :
10.1109/ISCAS.1988.15243
