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地铁牵引系统再生制动能量吸收及利用方法研究

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作者:鲁永杰

作者单位:兰州市轨道交通有限公司, 甘肃 兰州 730000


关键词:再生制动;整数规划模型;遗传算法;分配算法;调度


摘要:

为减少列车的能源消耗,该文建立一种调度方法来协调位于同一个供电区间内所有到达和离开的列车,使来自于制动列车的再生能量能够有效地利用到离开列车的加速过程中。首先,建立一个整数规划模型来减少列车的能源消耗;其次,建立遗传算法和分配算法,提高再生制动能量的利用率;最后,对建立的模型进行实验验证。实验结果表明:该文采用的列车调度方法能够降低7.3%的总能量消耗。此外,与CS方法相比较,该算法可提高36.35%的再生能量利用率,减少4.73%的总能量消耗。


Study on method of regenerative braking energy absorption and utilization in metro traction system

LU Yongjie

Lanzhou Rail Transit Co., Ltd., Lanzhou 730000, China

Abstract: In order to reduce the energy consumption of trains, a scheduling method is proposed in this paper to coordinate all trains with arrivals and departures in the same electricity supply period when the energy regenerated from braking trains can be effectively utilized in the acceleration process of trains. Firstly, an integer programming model is established to reduce the energy consumption of trains. Secondly, a genetic algorithm and an allocation algorithm are established to improve the regenerative braking energy utilization. Finally, an experiment is carried out to verify the established model. The experiment results show that the proposed scheduling method can reduce 7.3% of the total energy consumption. Moreover, compared with the CS method, the proposed algorithms can improve the utilization rate of regenerative energy by 36.35% and reduce 4.73% of the total energy consumption.

Keywords: regenerative braking;integer programming model;genetic algorithm;allocation algorithm;scheduling

2018, 44(8): 113-119  收稿日期: 2017-11-02;收到修改稿日期: 2017-12-19

基金项目: 

作者简介: 鲁永杰(1989-),男,甘肃泾川县人,工程师,硕士,主要从事城市轨道交通工作

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