| 电动汽车入网负荷预测及其与电网互动研究进展综述 |
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| 引用本文： | 蔡黎,葛棚丹,代妮娜,徐青山,王坤,张一,贺超.电动汽车入网负荷预测及其与电网互动研究进展综述[J].陕西电力,2022,0(7):96-103. |
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| 作者姓名： | 蔡黎 葛棚丹 代妮娜 徐青山 王坤 张一 贺超 |
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| 作者单位： | （1.重庆三峡学院电气工程系，重庆 404000；2.东南大学电气工程学院，江苏南京 210096；3.国网电力科学研究院有限公司，江苏南京 210037；4.国网重庆市电力公司，重庆 400000） |
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| 摘 要： | 电动汽车（EV）充电负荷预测技术和EV与电网互动（V2G）技术，能够有效减小规模化EV入网对电网的影响，实现充电桩的合理布局、高效利用和对电网能量的削峰填谷。通过对比传统EV负荷预测方法和现代EV负荷预测方法的优劣，分析V2G充电技术的研究进展，并介绍了国内外EV与电网互动的应用实例。最后，对EV入网需要解决的问题进行了总结和展望，提出了几点可能的研究思路。
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| 关 键 词： | 电动汽车 负荷预测 互动策略 V2G 有序充电 |
Review of Research Progress on Load Prediction and Grid Interaction of Electric Vehicles |
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| CAI Li,GE Pengdan,DAI Nina,XU Qingshan,WANG Kun,ZHANG Yi,HE Chao.Review of Research Progress on Load Prediction and Grid Interaction of Electric Vehicles[J].Shanxi Electric Power,2022,0(7):96-103. |
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| Authors: | CAI Li GE Pengdan DAI Nina XU Qingshan WANG Kun ZHANG Yi HE Chao |
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| Affiliation: | （1. Department of Electrical Engineering，Chongqing Three Gorges University，Chongqing 404000，China；2. School of Electrical Engineering，Southeast University， Nanjing 210096， China；3.China Electric Power Research Institute，Nanjing 210037，China；4.State Grid C |
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| Abstract: | EV charging load prediction technology and V2G technology can effectively reduce the impact of accessed large-scale EV on power grid， realize the rational layout of charging piles & efficient utilization， peak shaving and valley filling of power grid energy. By comparing the advantages and disadvantages of traditional and modern EV load prediction methods，the research progress of V2G is analyzed，and the application examples of EV and power grid interaction at home and abroad are introduced. Finally，the problems that need to be solved when entering the power grid are summarized and prospected，and several possible research approaches are proposed. |
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| Keywords: | electric vehicle load forecasting interactive strategy V2G orderly charging |
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