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作 者:葛少云[1] 王龙[1] 刘洪[1] 冯亮[1] 黄镠 朱涛[3]
机构地区:[1]智能电网教育部重点实验室(天津大学),天津市南开区300072 [2]丽水电业局,浙江省丽水市323000 [3]台州电业局,浙江省台州市317000
出 处:《电网技术》2013年第8期2316-2321,共6页Power System Technology
基 金:国家高技术研究发展计划(863计划)资助项目(2011AA05A115)~~
摘 要:针对电动汽车有序充电和放电对电网削峰填谷方面的影响,提出峰谷电价时段的优化模型。首先,根据私家车主的出行习惯,构建无序模式的放电概率模型;然后,基于峰谷电价时段,构建用户响应峰谷电价差的有序充电和放电时刻选择算法;其次,考虑峰谷电价响应度,使用蒙特卡罗法模拟得到电动汽车充放电功率的日负荷曲线,与原始电网负荷叠加,得到考虑电动汽车充电和放电功率的实际负荷曲线;在此基础上,构建以电网负荷峰谷差率最小为目标的峰谷电价时段的优化模型,并使用遗传算法对其优化求解;最后,通过算例验证了模型的正确性。Considering the impact of ordered charging/ discharging of plug-in hybrid electric vehicle(PHEV) on power grid peak-load shifting,an optimization model of peak-valley price time-interval is put forward.Firstly,based on the vehicle owners’ daily driving habits a probability model for unordered discharging mode is constructed;then based on the time-interval of peak-valley price,an algorithm of choosing ordered charging and discharging moment is built for vehicle owners responding to peak-valley price difference;and then considering the responsiveness of peak-valley price,the daily load curves of PHEV’s charging/discharging power are obtained by Monte Carlo simulation,and superposing them with original load curve of power grid,the actual load curves considering charging/discharging power of PHEV are attained;on this basis an optimization model of peak-valley price time-interval,in which the difference between peak load and valley load is minimum,is proposed and solved by genetic algorithm.Finally the validity of the proposed optimization model is verified by results of two numerical examples.
关 键 词:V2G 电动汽车 峰谷电价 时段优化 峰谷电价响应度
分 类 号:TM721[电气工程—电力系统及自动化]
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