Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1993.11a
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- Pages.3-5
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- 1993
Identification of coherent generators for dynamic equivalents using artificial neural network
신경망을 이용한 코히런트발전기의 선정
- Rim, Seong-Jeong (Dept. of Electrical Engineering, Soongsil University) ;
- Han, Seong-Ho (Dept. of Electrical Engineering, Soongsil University) ;
- Yoon, Yong-Han (Dept. of Electrical Engineering, Soongsil University) ;
- Kim, Jae-Chul (Dept. of Electrical Engineering, Soongsil University)
- Published : 1993.11.26
Abstract
This paper presents a identification techniques of coherent generators for dynamic equivalents using artificial neural networks. In the developed neural network, inputs are the power system parameters which have a property of coherency. Outputs of the neural network are coherency and error indices which are derived from density measure concept. The learning of developed neural network is carried out by means of error back-propagation algorithm. Identification of coherent generators are implemented by proposed grouping algorithm using coherency and error indices. The proposed method is confirmed by simulations for 39-bus New England system.
Keywords