摘要
合理调整地铁时刻表就能合理调整线路上列车的启动、制动情况,可使尽可能多的再生制动能量流向需要能量的车辆,避免其消耗在制动电阻上。以降低所有列车制动电阻能耗为目标,对列车在所有车站的停站时间进行优化。提出了基于遗传算法的优化算法。以南京地铁1号线为例,进行了制动电阻能耗计算和优化仿真。研究结果表明,对于发车间隔4min和8min两种情况,优化之后的停站时间与优化之前相比,制动电阻能耗分别减少了16.1%和16.3%,节能效果显著,算法有效。
Carefully made train schedule can adjust train starting and braking, produce more regenerative braking energy flow for the train in need of energy, and avoid the consumption in braking resistor. In this paper, the train schedule of subway is studied,station dwell time of trains is optimized to reduce energy consumption in braking resis- tor, then an optimum algorithm based on genetic algorithm is proposed. Nanjing metro Line 1 is taken as an example where the breaking resistor energy consumption calculation and optimum simulation are performed. The simulation re- suits show that by optimizing the station dwell time,energy consumption in braking resistor will have a reduction of 16.1% when the departure interval is 4 minutes, and a re- duction of 1(~. 3% when the departure interval is 8 minutes. It verifies the remarkable energy saving effect and the effi- ciencyof the optimized algorithm.
出处
《城市轨道交通研究》
北大核心
2013年第11期90-94,共5页
Urban Mass Transit
关键词
地铁
时刻表调整
再生制动能量
停站时间
遗传算法
subway
train schedule adjustment
regenerativebraking energy
station dwell time
genetic algorithms(GAs)