
华北电力大学 电气与电子工程学院, 北京市 昌平区,102206
[ "刘自发(1973),男,教授,博士生导师,研究方向为配电网规划研究,Email:tjubluesky@163.com" ]
[ "伊特格勒(1998),男,硕士研究生,研究方向为配电网规划,Email:ncepuytgl99@163.com" ]
纸质出版:2025
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刘自发, 伊特格勒. 计及电动汽车碳交易的主动配电网两阶段优化调度[J]. 现代电力, 2025,42(5):1060-1070.
LIU Zifa, YI Tegele. Two-stage Optimal Dispatching of Active Distribution Network Considering Electric Vehicles Carbon Trading[J]. 2025, 42(5): 1060-1070.
刘自发, 伊特格勒. 计及电动汽车碳交易的主动配电网两阶段优化调度[J]. 现代电力, 2025,42(5):1060-1070. DOI: 10.19725/j.cnki.1007-2322.2023.0282.
LIU Zifa, YI Tegele. Two-stage Optimal Dispatching of Active Distribution Network Considering Electric Vehicles Carbon Trading[J]. 2025, 42(5): 1060-1070. DOI: 10.19725/j.cnki.1007-2322.2023.0282.
电动汽车作为常见的柔性负荷,在降低系统运行成本以及促进可再生能源消纳、减少碳排放等方面有较大潜力。针对大规模电动汽车与主动配电网的协同调度问题,提出计及电动汽车碳交易的主动配电网两阶段优化调度策略。首先,根据电动汽车用户的选择差异性,结合实际情况对电动汽车充放电模式进行分类。其次,构建阶梯型碳交易机制,将电动汽车引入碳交易市场;同时,结合碳交易机制,建立日前-日内两阶段优化调度策略,在日前调度阶段构建以主动配电网总运行成本最小为优化目标的日前优化调度模型,在日内滚动优化阶段对日前调度结果以最小代价进行修正。最后,通过改进后的IEEE 33节点系统进行验证。算例仿真结果表明,所提策略可兼顾电网侧和用户侧利益,同时也能降低系统碳排放。
The electric vehicles
as a common flexible load
poses significant potential in reducing system operating costs
promoting renewable energy consumption
and mitigating carbon emissions. A two-stage optimal dispatching strategy of active distribution network including carbon trading of electric vehicles is proposed to address cooperative scheduling problem of large-scale electric vehicles and active distribution network. First of all
the classification of electric vehicle charging and discharging mode is performed according to the choice difference of electric vehicle users and actual situation. Secondly
a ladder carbon trading mechanism is established to introduce electric vehicles into the carbon trading market. Meanwhile
a two-stage day-ahead and intra-day optimal dispatching strategy is established
combined with the carbon trading mechanism. In the day-ahead pre-scheduling stage
a day-ahead optimal dispatching model with the minimum total operating cost of the active distribution network is constructed
and the day-ahead pre-scheduling results are modified with the minimum cost in the day-ahead rolling optimization stage. Finally
the improved IEEE 33 node system is verified
and the simulation results indicate that the proposed strategy takes into account the benefits of both the grid and the user sides
while reducing the carbon emission of the system simultaneously.
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