Intelligent scheduling method for energy saving operation of multi-train based on genetic algorithm and regenerative kinetic energy

The Journal of Engineering

Bingqian Zou¹  Ning Yu²  Lixiong Gong³ 

[1] Chongqing College of Electronic Engineering, Chongqing , People'Chongqing University of Technology , College of Mechanical Engineering, Chongqing , People's Republic of China

关键词: total vehicle number;    lowest total energy consumption;    regenerative kinetic energy;    evening peak;    departure time;    train departure interval;    genetic algorithm;    intelligent algorithm;    intelligent scheduling method;    energy saving operation;    energy consumption optimisation model;    multitrain intelligent scheduling problem;    train operation diagram;    multidimensional state vector subspace;    intelligent control models;    Matlab;    time interval scheduling plan;    morning peak;   

DOI  :  10.1049/joe.2018.8273

学科分类：工程和技术（综合）

来源: IET

【 摘 要 】

An intelligent scheduling method for energy saving operation of multi-train is proposed based on genetic algorithm and regenerative kinetic energy. Considering the morning and evening peak, departure time, and total vehicle number, the energy consumption optimisation model of multidimensional state vector subspace of train is established for the train departure interval with the lowest total energy consumption. Two intelligent control models are used to formulate the time interval scheduling plan depending on whether to consider the morning and evening peak. The train operation diagram is solved by Matlab, and the validity and feasibility of the proposed algorithm are verified. This study provides an intelligent and efficient algorithm and solution for multi-train intelligent scheduling problem.

【 授权许可】

CC BY