15th International Conference on Computational Methods and Experimental Measurements - CMEM 2011, New Forest (Reino Unido). 31 mayo - 02 junio 2011
Resumen:
This paper presents a stochastic traffic generator in which (i) the driving manner is assumed to be stochastic, (ii) random unexpected stops are considered and (iii) the stop time in the stations is also supposed to be stochastic. This simulation tool provides a large number of different driving scenarios to be used for a Monte Carlo load flow analysis. Traffic simulations algorithms are described in detail. Reference to a section of the Madrid-Barcelona high-speed line illustrates the potential of such a tool.
Palabras clave: Power supply; Stochastic simulation; Train driving
DOI: https://doi.org/10.2495/CMEM110581
Fecha de publicación: 2011-05-31.
Cita:
E. Pilo, J.R. Jiménez-Octavio, R.R. Pecharromán, A.J. López López, Stochastic traffic generator for Monte Carlo load flow simulation, 15th International Conference on Computational Methods and Experimental Measurements - CMEM 2011, New Forest (Reino Unido). 31 mayo - 02 junio 2011.