Stochastic Modeling for Transmission Lines and Numerical
Experimental Analysis for Transient Simulation
Zhang Ying①; Janet M. Wang②; Xiao Liang①; Wu Hui-zhong①
①Department of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China; ②Department of Electrical and Computer Engineering, College of Engineering and Mines,
the University of Arizona, Arizona AZ8742, USA
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.
2006, Vol. 28 
