基于遗传算法的电动汽车换电站经济运行Economic Operation of Electric Vehicle Battery Swapping Station Based on Genetic Algorithms
张帝;姜久春;张维戈;张言茹;黄彧;
摘要(Abstract):
在现有的电池技术和充电条件下,快换式充电站成为国内纯电动公交最主要的能量补给摸式。针对电池组充电电费过高和增加配电网峰谷差的问题,以及换电站内快换工位和备用电池空闲的情况,在保证车辆正常运营的前提下,以充电站内全天充电电费最低为目标,建立了充电变功率工况下基于分时电价的换电站经济运行模型,通过遗传智能优化算法合理安排电池组的开始充电时间,降低充电电费,从而实现换电站的经济运行。分别基于北京北土城充电站和上海世博会充电站的实际数据和统计结果进行算例仿真,验证了算法的有效性。结果表明,该算法不仅能降低充电站充电电费,还能降低充电站白天对配电网的负荷压力,补充夜间负荷,减小配电网的峰谷差,在实现充电站经济运行的同时还有助于配电网的经济运行。
关键词(KeyWords): 电动汽车;换电站;遗传算法;经济运行;充电功率
基金项目(Foundation): 国家863高技术基金项目(2011AA05A108);; 中央高校基本科研业务费专项资金资助(2013YJS084)~~
作者(Author): 张帝;姜久春;张维戈;张言茹;黄彧;
Email:
DOI: 10.13335/j.1000-3673.pst.2013.08.011
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