Stochastic modeling for transmission lines and numerical experimental analysis for transient simulation

Ying Zhang, Janet M. Wang, Liang Xiao, Hui Zhong Wu

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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 model's 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.

Original languageEnglish (US)
Pages (from-to)1516-1520
Number of pages5
JournalDianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume28
Issue number8
StatePublished - Aug 1 2006

Keywords

  • Monte Carlo method
  • Stochastic modeling
  • Transient simulation
  • Transmission line equation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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