DocumentCode
2584865
Title
Quickprop algorithm for transfer capability calculations
Author
Luo, X. ; Patton, A.D. ; Singh, C.
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume
2
fYear
1999
fDate
31 Jan-4 Feb 1999
Firstpage
890
Abstract
The problem of real power transfer capability, under multi-area interchange schedules, is approached by a neural network solution methodology in this paper. Generator status, line status and load status serve as the inputs for the neural network and the output is the transfer capability as determined by OPF. The Quickprop algorithm, which is faster than the standard BP algorithm, is used to train the neural network. Having trained the neural network, the solution for a given power system condition can be determined very quickly. A case study is presented demonstrating the feasibility of this approach. The new method will be useful for reliability assessment in the new utility environment.
Keywords
learning (artificial intelligence); load flow; power system analysis computing; power system interconnection; power transmission; Quickprop algorithm; generator status; line status; load status; multi-area interchange schedules; neural network solution methodology; neural network training; optimal power flow; reliability assessment; transfer capability calculations; Artificial neural networks; Load flow; Neural networks; Power system interconnection; Power system modeling; Power system reliability; Power system stability; Power transmission lines; Reactive power; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society 1999 Winter Meeting, IEEE
Print_ISBN
0-7803-4893-1
Type
conf
DOI
10.1109/PESW.1999.747286
Filename
747286
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