摘要
从列车驾驶操纵策略和再生制动能量利用两个方面,对城轨列车运行图节能优化问题进行研究。首先,分析了列车驾驶操纵和再生制动能利用对列车运行图能耗的影响;其次,以列车总旅行时间最短和列车运行总能耗最小为目标,考虑区间运行时分、停站时间、列车速度曲线等约束,建立了城轨列车运行图双目标节能优化模型。针对模型特点,采用模型离散化等策略进行约简,并设计了基于模拟退火机制的粒子群算法(PSO-SA)进行求解。最后,以天津地铁1号线(刘园—双林)运营数据为基础,验证模型和算法的有效性,研究结果表明:优化后列车总能耗减少了10251 kW·h,降幅为7.84%,尤其是再生制动能利用有了明显提升,增幅达145.10%。
This paper studied the energy saving optimization of urban rail train working diagram from the strategy of train driving and the utilization of regenerative braking energy.Firstly,the influence of the driver’s operation and regenerative braking energy utilization on the energy consumption of the train working diagram was analyzed.Secondly,to minimize the total travel time and total energy consumption,an energy-saving optimization model for an urban rail train working diagram was constructed considering constraints such as interval operation time,dwell time,and train speed curve.Based on the characteristics of the model,model discretization and other methods were adopted to simplify the model,and a particle swarm optimization algorithm(PSO-SA)based on simulated annealing was designed to solve the problem.Finally,the effectiveness of the model and algorithm was verified based on the operation data of Tianjin Metro Line 1(Liuyuan-Shuanglin).The research results show that after optimization,the total energy consumption of the train has been reduced by 10251 kW/h,decreased by 7.84%.Moreover,the utilization of regenerative braking energy has significantly improved by 145.10%.
作者
王清永
钱广民
刘颖
赵疆昀
高凡
WANG Qingyong;QIAN Guangmin;LIU Ying;ZHAO Jiangyun;GAO Fan(Vehicle Center,Tianjin Rail Transit Operation Group Co.,Ltd.,Tianjin 300222,China;Institute of Computing Technology,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
出处
《铁道运输与经济》
北大核心
2024年第11期30-38,共9页
Railway Transport and Economy
基金
中国城市轨道交通协会重点科研专项(CAMET20220205)。
关键词
城市轨道交通
列车运行图
节能操纵
再生制动能利用
PSO-SA算法
Urban Rail Transit
Train Working Diagram
Energy-saving Operation
Regenerative Braking Energy Utilization
PSO-SA Algorithm
