基于V2G技术的电动汽车有序充电车-网互动调度策略

岳雷

太阳能学报 ›› 2026, Vol. 47 ›› Issue (5) : 498-505.

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (5) : 498-505. DOI: 10.19912/j.0254-0096.tynxb.2025-0056

基于V2G技术的电动汽车有序充电车-网互动调度策略

  • 岳雷
作者信息 +

ORDERED CHARGING VEHICLE-GRID INTERACTIVE SCHEDULING STRATEGY FOR ELECTRIC VEHICLES BASED ON V2G TECHNOLOGY

  • Yue Lei
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文章历史 +

摘要

为应对电动汽车(EVs)随机充电引发的电力负荷波动及配电网损耗加剧的挑战,提出一种基于电动汽车与电网(V2G)双向能量交互技术的协同调度策略。利用V2G电动汽车的双向能量流动潜在储能特性,分时段对其充电和放电行为进行优化,从而达到降低电网总负荷方差和网损的目标。通过构建IEEE33节点系统的仿真平台进行实证分析,结果显示该策略使负荷峰谷波动幅度降低27.1%,等效网损减少16.4%,充电费用降低38.6%,模式切换次数控制在≤3次/日的安全区间内,可实现电动汽车与电网的协同运行和资源合理分配,显著改善电网运行品质。

Abstract

With the popularity of electric vehicles(EVs), vehicle to grid(V2G) technology has become an important means to alleviate power grid pressure, optimize energy utilization, and achieve effective integration of renewable energy. An interactive scheduling strategy for orderly charging of electric vehicles based on V2G technology is proposed. It utilizes the potential energy storage characteristics of V2G electric vehicles' bidirectional energy flow to optimize their charging and discharging behavior in different time periods, achieving the goal of reducing the total load variance and power losses of the power grid. Using the IEEE 33 node power system as the simulation environment, the simulation analysis and verification were carried out. The results showed that the proposed optimization scheduling strategy reduced the peak valley difference of the load by 27.1%, reduced the equivalent power loss by 16.4%, reduced the total charging cost by 38.6%, and controlled the number of mode switching within a safe interval of less than or equal to 3 times per day. It achieved coordinated operation and rational resource allocation between electric vehicles and the power grid, and improved the stability and economy of the power grid.

关键词

电动汽车 / 车网互动 / 有序充电 / 配电网网损优化 / 分时电价调度 / 负荷方差最小化 / 网损灵敏度

Key words

electric vehicles / vehicle-to-grid / scheduling algorithms / distribution network loss optimization / time-of-use pricing scheduling / load variance minimization / power loss sensitivity

引用本文

导出引用
岳雷. 基于V2G技术的电动汽车有序充电车-网互动调度策略[J]. 太阳能学报. 2026, 47(5): 498-505 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0056
Yue Lei. ORDERED CHARGING VEHICLE-GRID INTERACTIVE SCHEDULING STRATEGY FOR ELECTRIC VEHICLES BASED ON V2G TECHNOLOGY[J]. Acta Energiae Solaris Sinica. 2026, 47(5): 498-505 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0056
中图分类号: TK89    TM734   

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基金

国家自然科学基金(52267005); 新疆维吾尔自治区重大科技专项(2022A01001)

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