| 引用本文: | 刘俊峰,李国璋,曾婧瑶,赵紫昱,曾君.考虑新能源就地消纳的综合园区电动汽车时空优化调度[J].控制理论与应用,2025,42(7):1345~1355.[点击复制] |
| LIU Jun-feng,LI Guo-zhang,ZENG Jing-yao,ZHAO Zi-yu,ZENG Jun.Optimized spatial and temporal scheduling of electric vehicles in comprehensive park considering local consumption of new energy sources[J].Control Theory & Applications,2025,42(7):1345~1355.[点击复制] |
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| 考虑新能源就地消纳的综合园区电动汽车时空优化调度 |
| Optimized spatial and temporal scheduling of electric vehicles in comprehensive park considering local consumption of new energy sources |
| 摘要点击 2704 全文点击 228 投稿时间：2023-09-06 修订日期：2025-04-27 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2024.30605 |
| 2025,42(7):1345-1355 |
| 中文关键词 电动汽车 时空优化调度 主从博弈 新能源消纳 |
| 英文关键词 electric vehicles space-time optimal scheduling stackelberg game new energy consumption |
| 基金项目 国家自然科学基金项目(62173148, 52377186), 广东省自然科学基金项目(2022A1515010150, 2023A1515010184), 现代交通节能控制和智能运维 技术联合实验室资助. |
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| 中文摘要 |
| 大规模无序充电的电动汽车(EV), 相当于在时间上和空间上无序的电力负荷, 可能会造成局部过负荷、线
路堵塞等问题, 给电网的运行带来巨大冲击. 本文以综合园区内电动汽车时空优化调度为研究目标, 建立了空间维
度和时间维度的双层优化调度模型. 在空间维度上, 以电动汽车综合等待时间最短的目标, 为其分配最优充电站;
在时间维度上, 在充分考虑新能源就地消纳的前提下, 建立综合园区管理系统(CPMS)与主动EV之间的主从博弈模
型, 实现电动汽车充电成本降低, 最小化CPMS互动成本以及维持整个综合园区的功率平衡的目标, 从而完成电动
汽车的时空优化调度. 最后通过算例验证所提优化调度策略的有效性. |
| 英文摘要 |
| Electric vehicle (EV) with large-scale disordered charging is equivalent to disordered power load in time and
space, which may cause local overload, line congestion and other problems, and bring great impact on the operation of
the power grid. In this paper, the space-time optimal scheduling of electric vehicles is taken as the research goal, and a
two-layer optimal scheduling model with space dimension and time dimension is established. In the space dimension, the
optimal charging station is assigned for electric vehicles with the goal of the shortest comprehensive waiting time; In terms
of time dimension, the Stackelberg game model between the comprehensive park management system (CPMS) and active
EV is established under the premise of fully considering the local consumption of new energy to reduce the charging cost
of electric vehicles, minimize the interaction cost of CPMS and maintain the power balance of the entire comprehensive
park, so as to complete the space-time optimal scheduling of electric vehicles. Finally, an example is given to verify the
effectiveness of the proposed optimal scheduling strategy. |
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