DocumentCode :
328267
Title :
A practical method based on structural neural networks to optimize power system operation
Author :
Sakurai, Kyoko ; Nishimura, Kosuke ; Hayashi, Hideki
Author_Institution :
Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan
Volume :
1
fYear :
1993
fDate :
25-29 Oct. 1993
Firstpage :
451
Abstract :
This paper proposes a new method to optimize the operation of a power transmission system, based on a structured neural network. Because the structured neural network is built by prewiring, the time to build the network is very short. Simulations of transmission loss reduction have been carried out. It has been shown that the optimization performance of the proposed method is satisfactory in practice.
Keywords :
neural nets; optimisation; power system planning; power transmission; power system operation optimization; power transmission system; prewiring; structural neural networks; transmission loss reduction; Computer networks; Large-scale systems; Neural networks; Optimization methods; Power generation; Power system stability; Power systems; Power transmission; Propagation losses; Software engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
Type :
conf
DOI :
10.1109/IJCNN.1993.713952
Filename :
713952
Link To Document :
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