Title :
Transient stability assessment: an artificial neural network approach
Author :
Sing, Lau Buon ; Po, Wong Kit
Author_Institution :
Sarawak Electr. Supply Corp., Malaysia
Abstract :
A general artificial neural network (ANN) approach for constructing multilayered feedforward networks (MFNs) is developed based on formulated ANN principles and methodologies. The general ANN approach is applied to develop a proposed ANN system for fault type identification, fault location and critical clearing time estimations in the context of power system transient stability assessment. Three schemes are also formulated to validate the general ANN approach and the developed ANN system
Keywords :
fault diagnosis; fault location; feedforward neural nets; multilayer perceptrons; power system stability; power system transients; artificial neural network; critical clearing time estimations; fault location; fault type identification; multilayered feedforward networks; power system transient stability assessment; Artificial neural networks; Australia; Fault diagnosis; Fault location; Power system analysis computing; Power system faults; Power system modeling; Power system stability; Power system transients; Supervised learning;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.487502
