Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1996.07b
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- Pages.757-759
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- 1996
Application of Neural Networks to the Bus Separation in a Substation
신경회로망을 이용한 변전소 모선분리 방안 연구
-
Lee, K.H.
(Dept. of Elec.Eng. of Dankook Univ.)
;
- Hwang, S.Y. (Dept. of Elec.Eng. of Dankook Univ.) ;
- Choo, J.B. (Korea Elec. Power Research Ins.) ;
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Youn, Y.B.
(Korea Elec. Power Research Ins.)
;
- Jeon, D.H. (Korea Elec. Power Research Ins.)
- Published : 1996.07.22
Abstract
This paper proposes an application of artificial neural networks to the bus-bar separation in a substation for radial network operation. For the effective bus-bar operation, the insecurity index of transmission line load is introduced. For the radial network operation. the constraints of bus-bar switch is formulated in the performance function with the insecurity index. The determination of bus-bar switching is to find the states of 0 or 1 in the circuit breakers. In this paper, it is tested that the bus-bar separation of binary optimization problem can be solved by Hopfield networks with adequate manipulations.
Keywords