Title :
Neurocontroller with adaptable activation function for power system studies
Author :
Marpka, D.R. ; Hwang, W.R. ; Moturi, Vinay
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee State Univ., Nashville, TN, USA
Abstract :
In this paper the performance of a neural network with an activation function with constant and adaptable slope is presented. Later the network can be used as a neurocontroller to estimate the state and isolate the faulty power system from the rest of the system. The method is illustrated with an example
Keywords :
electrical faults; feedforward neural nets; power system computer control; adaptable activation function; adaptable slope; faulty power system isolation; multilayer feedforward neural nets; neurocontroller; power system; Backpropagation algorithms; Equations; Multi-layer neural network; Neural networks; Neurocontrollers; Power system dynamics; Power system faults; Power systems; Real time systems; State estimation;
Conference_Titel :
Southeastcon '94. Creative Technology Transfer - A Global Affair., Proceedings of the 1994 IEEE
Conference_Location :
Miami, FL
Print_ISBN :
0-7803-1797-1
DOI :
10.1109/SECON.1994.324319
