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基于充电桩健康度的电动汽车充电调度策略

Charging Scheduling Strategy for Electric Vehicles Based on Charging Pile Health
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摘要 为提升充电桩健康水平,提出了基于充电桩健康度的电动汽车充电调度策略。从充电桩电气性能指标和安全性能指标出发,以充电桩6大模块、26项指标为评估标准建立充电桩健康度综合评估模型。考虑接入负荷对充电桩健康度的影响,建立基于充电桩健康度的充电优化模型,为统一变量,将充电负荷转化为充电时间,充电运营商基于充电时间和充电桩健康度规划充电车辆的位置。采用NSGA-Ⅱ算法求解模型并采用充电桩健康度模型进行评估。选取江苏省某区域10个充电桩的参数及充电信息进行验证,并设置了两种不同优化情景进行对比。结果表明,较其他两种情景,采用本文策略及算法的充电站年度健康度提升了18.54%,充电桩年度健康度平均提升了1.85%,充电站月度健康度最大方差降低至0.0015。 In order to improve the health of charging piles,a charging scheduling strategy for electric vehicles based on pile health status is proposed.The strategy begins with a comprehensive assessment model that evaluates charging pile health through electrical and safety performance indicators,using 6 core modules and 26 indicators as the evaluation framework.Secondly,considering the impact of charging load on pile health,a charging optimization model based on pile health status is established.Charging load is standardized by converting it into charging time,allowing operators to plan vehicle charging locations using both charging time and pile health as guiding factors.Finally,the NSGA-II algorithm is employed to solve the model,with the charging pile health model used for evaluation.Parameters and charging data from 10 charging piles in a region of Jiangsu Province are selected for verification,and two different optimization scenarios are set up for comparison.The results show that,compared to the other two scenarios,the proposed strategy and algorithm increase the annual health of charging stations by 18.54%,improve the average annual health of charging piles by 1.85%,and reduce the maximum monthly health variance of charging stations to 0.0015.
作者 陆洋 刘涅煊 黄泓叶 LU Yang;LIU Niexuan;HUANG Hongye(State Grid Electric Power Research Institute,NARI Group Corporation,Nanjing 211106,China)
出处 《汽车工程学报》 2024年第6期1014-1024,共11页 Chinese Journal of Automotive Engineering
基金 国电南瑞科技股份有限公司科技项目(524608230177)。
关键词 充电桩健康度 充电桩健康度评估模型 充电优化模型 NSGA-Ⅱ算法 health status of charging stations health assessment model for charging stations charging optimization model NSGA-II algorithm
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