Application of ANN load model for transient stability analysis

Jong-Pil Lee; Dae-Jong Lee; Sung-Soo Kim; Jae-Won Park; Jae-Yoon Lim; Pyeong-Shik Ji

doi:10.1117/12.785198

9 January 2008 Application of ANN load model for transient stability analysis

Jong-Pil Lee, Dae-Jong Lee, Sung-Soo Kim, Jae-Won Park, Jae-Yoon Lim, Pyeong-Shik Ji

Proceedings Volume 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials; 679454 (2008) https://doi.org/10.1117/12.785198
Event: ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 2007, Gifu, Japan

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.

Citation Download Citation

Jong-Pil Lee, Dae-Jong Lee, Sung-Soo Kim, Jae-Won Park, Jae-Yoon Lim, and Pyeong-Shik Ji "Application of ANN load model for transient stability analysis", Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 679454 (9 January 2008); https://doi.org/10.1117/12.785198

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