|Table of Contents|

Optimization model of energy-efficient driving for train in urban rail transit based on particle swarm algorithm(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2016年02期
Page:
118-124,142
Research Field:
交通运输规划与管理
Publishing date:

Info

Title:
Optimization model of energy-efficient driving for train in urban rail transit based on particle swarm algorithm
Author(s):
HUANG You-neng1; 2;  GONG Shao-feng2;  CAO Yuan1; 2;  CHEN Lei3
1. National Engineering Research Center for Rail Transportation Operation Control System, Beijing Jiaotong University, Beijing 100044, China; 2. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China; 3. Sch
Keywords:
urban rail transit;  train energy-efficient driving;  particle swarm algorithm;  driving strategy;  optimization method
PACS:
U284.48
DOI:
-
Abstract:
In order to reduce the interstation operation energy consumption of train in urban rail transit, the interstation energy-efficient driving strategy of train was studied. On the basis of considering speed limit and gradient, a energy-efficient optimization model with the constraint of trip time was established, the optimal energy-efficient driving strategy was proposed by using particle swarm optimization(PSO)to optimize the target speed sequence. The optimization method of energy-efficient driving was realized through two phases. In the first phase, under the condition of constant interstation trip time, the interstation energy-efficient driving strategy of train was optimized with PSO, and the relationship between trip time and energy consumption was obtained. In the second phase, under the condition of the constant total trip time of whole interstations, the trip time was redistributed, and the energy-efficient driving strategy of train for the whole line was obtained. Based on the real track data and vehicle parameters of Yizhuang Line of Beijing Subway, the optimization method was simulated and verified. Simulation result shows that after optimization, the interstation operation energy consumption of train reduces by 6.15% in the first phase in Wanyuan Street-Rongjingdong Street, and the total operation energy consumption of whole interstations reduces by 14.77% in the second phase. So the model can effectively reduce the operation energy consumption of train, and provides a basis for the generation of train timetable. 3 tabs, 12 figs, 21 refs.

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Last Update: 2016-04-20