吉林大学学报(信息科学版) ›› 2025, Vol. 43 ›› Issue (4): 870-879.

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基于时变约束的光储充电站多时间尺度调度

张建洲1, 姚腾飞1, 杨凤坤1, 韩宇昊2, 刘鸿鹏2   

  1. 1. 国电南瑞南京控制系统有限公司充电设施产品部,南京211106;2. 东北电力大学电气工程学院,吉林吉林132012
  • 收稿日期:2024-05-29 出版日期:2025-08-15 发布日期:2025-08-15
  • 通讯作者: 韩宇昊(2001— ), 男, 山东菏泽人, 东北电力大学硕士研究生, 主要从事光储充电站研究,(Tel)86-15020169379(E-mail)hanyuhao202203@163. com。 E-mail:410227006@ qq. com
  • 作者简介:张建洲(1988— ),男,南京人,国电南瑞南京控制系统有限公司高级工程师,主要从事车桩网互动关键技术研究,(Tel) 86-18043404766(E-mail)410227006@ qq. com
  • 基金资助:
    国电南瑞科技股份有限公司科技基金资助项目(524609230080)

Multi-Timescale Scheduling for Charging Stations of Photovoltaic Energy Storage Based on Time-Varying Constraints

ZHANG Jianzhou1, YAO Tengfei1, YANG Fengkun1, HAN Yuhao2, LIU Hongpeng2   

  1. 1. Charging Facilities Product Department, Guodian Nanrui Nanjing Control System Company Limited, Nanjing 211106, China; 2. School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
  • Received:2024-05-29 Online:2025-08-15 Published:2025-08-15

摘要: 针对运行策略不足时光储充电站的高运行成本及对配电网产生的负荷波动问题,提出了一种基于时变 边界约束条件的光储充电站多时间尺度优化调度策略。首先日前阶段以日运行成本最小为目标,对电动汽车 充电负荷以及光伏发电功率区间进行预测; 日内阶段以对配电网造成的负荷波动均方差最小为目标。构建基于预测区间边界、光伏发电上网电价以及电网分时电价的具有时变边界的约束条件,对运行策略中相关变量 加以约束。最后设置多个场景, 调用MatlabCPLEX求解器进行求解, 对调度结果分析表明, 该调度策略不仅能降低日运行成本,同时也减小了负荷波动均方差。

关键词: 光储充电站, 区间预测, 多时间尺度, 优化调度, 时变边界约束条件

Abstract: n response to the issue that photovoltaic energy storage charging stations have high operating cost and load fluctuations in the distribution grid caused by the shortcomings of the operating strategy, a multi-timescale optimal scheduling strategy based on time-varying boundary constraints for photovoltaic energy storage charging stations is proposed. Firstly, the goal is to minimize the daily operating cost, and the electric vehicle charging load and photovoltaic generation power intervals are predicted. Next, is to minimize the mean square deviation of load fluctuation on the distribution network. Constraints with time-varying boundaries are constructed based on the boundaries of the predicted intervals, grid feed-in pricing of photovoltaic and time-of-use pricing. Finally, setting multiple scenarios and utilizing the CPLEX solver in Matlab for optimization, The simulation results reveal that the scheduling strategy reduces daily operational costs and decreases the mean square deviation of load fluctuation.

Key words: photovoltaic energy storage charging stations, predicted interval, multi-time scale, optimization and scheduling, constraints with time-varying boundary

中图分类号: 

  • TP29