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文章摘要
基于随机匹配的构网型充电桩运行优化研究
Research on operation optimization of grid-forming charging spot based on stochastic matching
Received:April 09, 2024  Revised:May 08, 2024
DOI:10.19753/j.issn1001-1390.2026.03.007
中文关键词: 微电网  充电桩  场景树  运行优化
英文关键词: micro-grid, charging spot, scenario tree, operation optimization
基金项目:南方电网数字电网研究院有限公司科技项目(210002KK52222017)
Author NameAffiliationE-mail
GE Jun* Digital Grid Research Institute of China Southern Power Grid,Guangzhou,Guangdong,510700 gejun199108@163.com 
YANG Duotong Digital Grid Research Institute of China Southern Power Grid,Guangzhou,Guangdong,510700 yangduot88@163.com 
ZHANG Zihao Digital Grid Research Institute of China Southern Power Grid,Guangzhou,Guangdong,510700 zhangzih1996@163.com 
YU Jingyi Digital Grid Research Institute of China Southern Power Grid,Guangzhou,Guangdong,510700 yujingyi9053@163.com 
MA Xiyuan Digital Grid Research Institute of China Southern Power Grid,Guangzhou,Guangdong,510700 maxy198609@163.com 
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中文摘要:
      针对并网型微电网内具有构网能力的电动汽车充电桩的运行问题,文中研究了基于随机场景匹配的构网型充电桩运行优化方法,用于为并网型微电网内构网型充电桩的双向功率分配运行优化提供决策支持。文中论述了含构网型充电桩的微电网系统结构及运行模式,构建了考虑分布式电源、负荷和电动汽车随机性的二阶段随机运行优化模型,并提出了基于场景树的随机匹配优化方法,通过实验展示了所述方法的有效性。结果表明,所述方法能够得到贴近实际系统运行逻辑的控制策略,为构网型充电桩的功率分配提供有效支持。
英文摘要:
      In response to the operation problem of electric vehicle charging spots with grid forming capabilities within grid-connected micro-grids, this paper studies an optimization method for the operation of grid-forming charging spots based on stochastic scenario matching, which provides decision support for the optimization of bi-directional power allocation operation of grid-forming charging spots in grid-connected micro-grids. This paper first discusses the structure and operation mode of a micro-grid system with grid-forming charging spots. Then, a two-stage stochastic operation optimization model considering the randomness of distributed power sources, loads, and electric vehicles is constructed, and a scenario tree based random matching optimization method is proposed. Finally, the effectiveness of the proposed method is demonstrated through experiments. The results show that the proposed method can obtain a control strategy close to the actual system operation logic, providing effective support for the power allocation of grid-forming charging spots.
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