LIU Zifa, YI Tegele. Two-stage Optimal Dispatching of Active Distribution Network Considering Electric Vehicles Carbon Trading[J]. 2025, 42(5): 1060-1070.
DOI:
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.
Two-stage Optimal Dispatching of Active Distribution Network Considering Electric Vehicles Carbon Trading
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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references
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