Title :
High speed EMU modeling based on the measured data
Author :
Shaobing, Yang ; Mei, Huang ; Mingli, Wu
Author_Institution :
Electr. Eng. Sch., Beijing Jiaotong Univ., Beijing, China
Abstract :
Based on a large amount of actual measured data on railway line, this paper presents a modeling method using curve-fitting and probabilistic density functions for a high speed EMU. This method better simulates the real world and can be used to build a rapid data exchange between the trains and the traction power system simulation.
Keywords :
curve fitting; electric locomotives; harmonics; railway engineering; statistical analysis; traction motors; EMU; curve fitting; data exchange; electric multiple unit train; probabilistic density function; railway line; traction power system; Circuits; Current measurement; Partial response channels; Power system harmonics; Power system modeling; Power system simulation; Rail transportation; Substations; Traction power supplies; Velocity measurement; Harmonic; Modeling; Probabilistic; normal distribution;
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
DOI :
10.1109/SUPERGEN.2009.5347913
