Title :
Application of neural networks to direct stability analysis of power systems
Author :
Klapper, D.B. ; Othman, H.A. ; Akimoto, Y. ; Tanaka, H. ; Yoshizawa, J.
Author_Institution :
Dept. of Power Syst. Eng., General Electric. Co., Albany, NY, USA
Abstract :
The feasibility of designing neural networks capable of computing the critical clearing times of power system faults is explored. Two distinct approaches are investigated, the patter recognition approach and the optimization approach. The theory of direct stability analysis of power systems is utilized is designing he input features of the pattern recognition approach, and the structure of the Hopfield optimization approach.
Keywords :
Hopfield neural nets; electrical faults; optimisation; pattern recognition; power system analysis computing; power system stability; Hopfield; critical clearing times; direct stability analysis; faults; neural networks; optimization; patter recognition; power system analysis computing; Computer networks; Hopfield neural networks; Neural networks; Pattern recognition; Power engineering computing; Power system analysis computing; Power system faults; Power system simulation; Power system stability; Stability analysis;
Conference_Titel :
Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of
Conference_Location :
Yokohama, Japan
Print_ISBN :
0-7803-1217-1
DOI :
10.1109/ANN.1993.264317
