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Volume 28 Issue 8
Sep.  2010
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Zhang Ying, Janet M. Wang, Xiao Liang, Wu Hui-zhong. Stochastic Modeling for Transmission Lines and Numerical Experimental Analysis for Transient Simulation[J]. Journal of Electronics & Information Technology, 2006, 28(8): 1516-1520.
Citation: Zhang Ying, Janet M. Wang, Xiao Liang, Wu Hui-zhong. Stochastic Modeling for Transmission Lines and Numerical Experimental Analysis for Transient Simulation[J]. Journal of Electronics & Information Technology, 2006, 28(8): 1516-1520.

Stochastic Modeling for Transmission Lines and Numerical Experimental Analysis for Transient Simulation

  • Received Date: 2004-12-13
  • Rev Recd Date: 2005-05-23
  • Publish Date: 2006-08-19
  • The random perturbation of technological parameters is always existent during manufacturing, which has a definite impact on transmission performance of transmission lines. Considering the impact the stochastic model for transmission lines is proposed, and Monte Carlo method based statistical analysis method for transient simulation is presented. During the analysis process the precise integration algorithm is used to solve the transient simulation of each transmission line sample, and Jarque-Bera test is made for the normality of the models output, finally the worst-case estimation is given. Experimental results demonstrate that the proposed stochastic model and the statistical analysis method can evaluate the transmission performance of transmission lines effectively, and have great significance for the control and optimization of transmission lines fabrication process.
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