文章摘要
范春阳,张海波,张 贺,李云鹏.含分布式光伏的公交充电站多阶段优化调度[J].电力需求侧管理,2023,25(3):87-92
含分布式光伏的公交充电站多阶段优化调度
Multi-stage optimal scheduling of bus charging stations containing distributed photovoltaic
投稿时间:2023-02-13  修订日期:2023-03-09
DOI:10. 3969 / j. issn. 1009-1831. 2023. 03. 014
中文关键词: 电动汽车  公交充电调度  有序充电  光伏发电  分时电价
英文关键词: electric vehicle  bus charging scheduling  orderly charging  photovoltaic power  peak-valley price
基金项目:国网江苏省电力有限公司科技项目(J2020011)
作者单位
范春阳 国网江苏省电力有限公司 南通供电分公司江苏 南通 226000 
张海波 国网江苏省电力有限公司 南通供电分公司江苏 南通 226000 
张 贺 江苏凌创电气自动化股份有限公司江苏 镇江 212000 
李云鹏 国网江苏省电力有限公司 南通供电分公司江苏 南通 226000 
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中文摘要:
      在充电站中融合分布式光伏,有助于降低充电站运营成本,促进城市低碳化发展。充电站的充电负荷冲击和分布式光伏出力不确定性,使得充电站总负荷功率存在较大的波动性。针对存在光伏发电系统的电动公交车集中充电站,构建多阶段优化调度模型。第一阶段,根据公交出行计划,建立以充电裕度最大化为目标的有序充电模型,计算公交车间歇充电时段。第二阶段,建立以降低充电成本和电网波动为目标的多层次优化模型,在保证公交充电站运营成本最低的基础上,提高充电站整体用能质量。仿真结果表明:优化策略能够合理安排电动公交车充电行为和充电功率,使得公交站充电成本最低,且整体功率曲线在不同电价时段保持稳定。
英文摘要:
      Integrating distributed photovoltaic in charging stations will help reduce the operating costs of charging stations and promote low-carbon development in cities. The charging load impact of the charging station and the uncertainty of the distributed photovoltaic output make the total load power of the charging station have greater fluctuations. For centralized charging stations for electric buses with photovoltaic power generation systems, a multi-stage optimal dispatch model is constructed. In the first stage, according to the bus travel plan, an orderly charging model with the goal of maximizing the charging margin is established, and the intermittent charging period of the bus is calculated. In the second stage, a multi-level optimization model with the goal of reducing charging costs and grid fluctuations is established. On the basis of ensuring the lowest operating cost of bus charging stations, the overall energy quality of charging stations is improved. The simulation results show that the optimization strategy can reasonably arrange the charging behavior and charging power of electric buses, so that the charging cost of the bus station is the lowest, and the overall power curve remains stable during different electricity price periods.
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