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Proceedings Paper

Application of ANN load model for transient stability analysis
Author(s): Jong-Pil Lee; Dae-Jong Lee; Sung-Soo Kim; Jae-Won Park; Jae-Yoon Lim; Pyeong-Shik Ji
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Paper Abstract

Precise load modeling is an essential factor in the simulation and evaluation of power system performance. However, conventional load modeling techniques have some limitations with respect to accuracy for nonlinear and composite loads. Thus, an intelligent load modeling method based on neural network and application technique for transient stability analysis are proposed in this research. ANN with Levenberg-Marquardt back-propagation learning rule was used for load modeling. The constructed ANN models are used to transient stability analysis. Voltage and frequency calculated by stability process are used for input of ANN load model and output of ANN load model are inputted to stability process. Validity of proposed method is verified through case studies.

Paper Details

Date Published: 9 January 2008
PDF: 6 pages
Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 679454 (9 January 2008); doi: 10.1117/12.785198
Show Author Affiliations
Jong-Pil Lee, Chungbuk National Univ. (South Korea)
Dae-Jong Lee, Chungbuk National Univ. (South Korea)
Sung-Soo Kim, Chungbuk National Univ. (South Korea)
Jae-Won Park, Chungju National Univ. (South Korea)
Jae-Yoon Lim, Daeduk College (South Korea)
Pyeong-Shik Ji, Chungju National Univ. (South Korea)

Published in SPIE Proceedings Vol. 6794:
ICMIT 2007: Mechatronics, MEMS, and Smart Materials
Minoru Sasaki; Gisang Choi Sang; Zushu Li; Ryojun Ikeura; Hyungki Kim; Fangzheng Xue, Editor(s)

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