Title :
Risk assessment of transmission dynamic line rating based on Monte Carlo
Author :
Wang, Kongsen ; Sheng, Gehao ; Jiang, Xiuchen
Author_Institution :
Dept. of Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
A method to assess the operation risk of transmission line which using dynamic line rating technology is presented in this paper. Markov chain Monte Carlo methods are used to model the micro-climate conditions along the transmission lines. Monte Carlo simulation is used to predict the distribution of conductor temperature with the climate models and line load current model. The operation risk of transmission line is predicted by the conductor temperate distribution. Typical summer and winter monitor data are used to analyze the reliability of dynamic rating and the result indicates that the operation risk is within the safe range and meeting the requirements of grid operation.
Keywords :
Markov processes; Monte Carlo methods; power transmission lines; power transmission reliability; risk management; temperature distribution; Markov chain Monte Carlo methods; conductor temperature distribution; dynamic rating reliability; grid operation; line load current model; microclimate conditions; operation risk assessment; transmission dynamic line rating; Conductors; Current distribution; Power system dynamics; Power transmission lines; Temperature distribution; Wind speed; Markov chain Monte Carlo(MCMC); Monte Carlo(MC); Smart transmission line; risk assessment; transient rating;
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9691-4
DOI :
10.1109/PEAM.2011.6134969
