An Energy-saving Operation Strategy for High Speed Trains Based on Genetic Algorithm
This paper studies an optimization operation strategy for high-speed trains with a purpose of minimizing the running energy consumption. A more comprehensive and energy-saving model based on a priori available information is proposed, especially the geographical factor is first time to be used in establishing energy model. Optimization combination technique is also introduced to solve energy consumption optimization problem of subsections and speed codes for the first time, and genetic algorithm is applied to search speed codes in order to design an energy-saving speed trajectory. Thus there are less decision parameters in the strategy, which reduce the computational complexity and increase the computing speed, making the method become more feasible and favorable for different demands in online operation and offline analysis. To verify the effectiveness of the proposed method, a minimal energy driving on Wuhan-Guangzhou line for CHR-3 is simulated.
energy-saving operation strategy optimization combination technique genetic algorithm
Wenting Song Mi tan Wenchuan Cai
Beijing Jiaotong University, China Chongqing University, China
国际会议
重庆
英文
799-802
2015-12-18（万方平台首次上网日期，不代表论文的发表时间）