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Nobel Approaches of Intelligent Load Model for Transient Stability Analysis  

Lee, Jong-Pil (충북대학교 전기공학과)
Lim, Jae-Yoon (대덕대학 전기과)
Ji, Pyeong-Shik (충주대학교 전기공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers P / v.57, no.2, 2008 , pp. 96-101 More about this Journal
Abstract
The field of load modeling has attracted the attention since it plays an important role for improving the accuracy of stability analysis and power flow estimation. Also, 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, precision load modeling technique and reasonable application method is needed for more accurate power system analysis. In this paper, we develop an intelligent load modeling method based. on neural network and application techniques for power system. The proposed method makes it possible to effectively estimate the load model for nonlinear models as well as linear models. Reasonable application method is also proposed for stability analysis. To demonstrate the validity of the proposed method, various experiments are performed and their results are presented.
Keywords
Load Model; LMBP; Transient Stability Analysis;
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