DocumentCode
3398187
Title
Power system preventive control using artificial neural network based generation rescheduling method
Author
Effiong, Chris B. ; Momoh, James A.
Author_Institution
Dept. of Electr. Eng., Howard Univ., Washington, DC, USA
Volume
2
fYear
1997
fDate
3-6 Aug. 1997
Firstpage
1438
Abstract
A method for computing generation rescheduling for preventive control using artificial neural network (ANN) and transient energy margin (EM) is proposed. A two stage hybrid paradigm is used first to obtain the energy margin sensitivities with respect to generation and second to obtain the generation shift for rescheduling. The sensitivities are derived from the final connecting weights of the ANN.
Keywords
backpropagation; feedforward neural nets; neurocontrollers; power system control; scheduling; artificial neural network; final connecting weights; generation rescheduling method; power system preventive control; rescheduling; transient energy margin; two stage hybrid paradigm; Artificial neural networks; Computer networks; Control systems; Hybrid power systems; Power generation; Power system control; Power system security; Power system transients; Power systems; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Print_ISBN
0-7803-3694-1
Type
conf
DOI
10.1109/MWSCAS.1997.662354
Filename
662354
Link To Document