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]. 智慧电力, 2022, 50(7): 96-103.
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]. 智慧电力, 2022, 50(7): 96-103.
CAI Li, GE Peng-dan, DAI Ni-na, XU Qing-shan, WANG Kun, ZHANG Yi, HE Chao. Review of Research Progress on Load Prediction and Grid Interaction of Electric Vehicles[J]. Smart Power, 2022, 50(7): 96-103.
Citation: CAI Li, GE Peng-dan, DAI Ni-na, XU Qing-shan, WANG Kun, ZHANG Yi, HE Chao. Review of Research Progress on Load Prediction and Grid Interaction of Electric Vehicles[J]. Smart Power, 2022, 50(7): 96-103.

电动汽车入网负荷预测及其与电网互动研究进展综述

Review of Research Progress on Load Prediction and Grid Interaction of Electric Vehicles

  • 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。

     

    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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