| 引用本文: | 董槟,张江燕,申铁龙.基于需求的停车场电动车集群充放电管理策略[J].控制理论与应用,2024,41(10):1774~1782.[点击复制] |
| DONG Bin,ZHANG Jiang-yan,SHEN Tie-long.Demand based charging-discharging management strategy of electric vehicle cluster in parking lot[J].Control Theory and Technology,2024,41(10):1774~1782.[点击复制] |
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| 基于需求的停车场电动车集群充放电管理策略 |
| Demand based charging-discharging management strategy of electric vehicle cluster in parking lot |
| 摘要点击 2181 全文点击 61 投稿时间：2022-12-05 修订日期：2024-05-17 |
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| DOI编号 10.7641/CTA.2023.21061 |
| 2024,41(10):1774-1782 |
| 中文关键词 电动车 停车场 集群控制 需求侧响应 动态规划 分布式控制 |
| 英文关键词 electric vehicle parking lot cluster control demand side response dynamic programming distributed control |
| 基金项目 国家自然科学基金项目(61973053)资助. |
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| 中文摘要 |
| 电动车作为电网的分布式储能装置可以有效提高电能的使用效率. 当前的车网互联(V2G)方案主要采用集中式策略实现电动车充放电管理与用电负荷的调整. 然而, 当大规模电动车接入电网, 由于车辆用户出行行为的不确定性, 集中式策略无法满足个体电动车的实时需求以及电网负荷的有效调整. 本文以停车场内的电动车集群作为研究对象, 并将停车场作为电动车的电力供应站, 进而, 提出了一个实现用电负荷调整和分布式实时控制的充放电控制方案. 首先, 依据车群出行统计数据和实时电价信息, 基于动态规划算法提出了车群一天内各个时刻最优能源需求规划策略, 从而达到了高效利用能源的目的. 在车群最优能源需求的约束下, 基于实时优化方案提出了针对个体车辆的分布式充放电控制策略. 最后, 通过不同情况的仿真实验验证了提出方案的可行性. |
| 英文摘要 |
| Electric vehicle (EV) can be used as distributed energy storage devices to achieve efficient use of electric energy. Current vehicle-to-grid (V2G) schemes use centralized strategies to solve the EV charging-discharging control and power load adjustment problems. However, due to the uncertain travel behavior of the individual EV, centralized solution cannot guarantee the demand of each EV and efficient power load adjustment when large-scale electric vehicles (EVs) are connected to the power grid. Consider the EV cluster system in the parking scene. Taking the parking lot as the power supply station, a control scheme is proposed to realize power load adjustment and distributed real-time control for each individual EV. First, based on the statistical data and the real-time electricity price information, the optimal energy demand planning strategy for each time period in a day is proposed with the dynamic programming algorithm, which guarantees the efficient use of electric energy. Under the constraint of the optimal energy demand for the cluster, a distributed charging-discharging control strategy for each single vehicle is proposed based on real-time optimization scheme. Finally, the feasibility of the proposed scheme is verified by different simulation experiments. |
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