Multi-player Two-stage Low Carbon Optimal Operation Strategy Considering Electric Vehicle Cluster Schedulability

被引：0
作者：
Zhang P. [1 ]
Xie L. [1 ]
Ma R. [1 ]
Lu P. [2 ]
Song X. [3 ]
Yang J. [1 ]
Bian Y. [1 ]
机构：
[1] Engineering Research Center for Renewable Energy Power Generation and Grid Technology, Xinjiang University, Ministry of Education, Xinjiang Uygur Autonomous Regions, Urumqi
[2] State Key Lab of Power Systems and Generation Equipments, Tsinghua University, Haidian District, Beijing
[3] Economic and Technical Research Institute of State Grid Xinjiang Electric Power Co., Ltd., Xinjiang Uygur Autonomous Regions, Urumqi
来源：
Dianwang Jishu/Power System Technology | 2022年 / 46卷 / 12期
基金：
中国国家自然科学基金;
关键词：
carbon trading; cluster; electric vehicle; schedulability; Stackelberg game; two-stage optimization;
D O I：
10.13335/j.1000-3673.pst.2022.0775
中图分类号：
学科分类号：
摘要：
In the context of low-carbon economy, this paper presents a multi-player two-stage low carbon optimal operation strategy considering the electric vehicle (EV) cluster schedulability, for it is difficult to flexibly schedule the massive EVs after the grid connection and there are conflicts of interests between the multiple agents in the distribution system. Firstly, according to the uncertainty of the EV travel habits, based on the Monte Carlo, the load-storage scheduling ability model of the EV cluster is established by using the Minkowski Sum. Secondly, combined with the load-storage scheduling ability a day-ahead Stackelberg game model that maximizes the interests of the distribution system operator (DSO) and the EV aggregator (EVA) and a real-time model of vehicle allocation and adjusted bias are built considering the conflict of interests between the DSO and the EVA and the flexibility of the EVs. Finally, the day-ahead bi-level model is transformed into a single-level programming problem and is verified in the improved IEEE 33 node system. The results show that the load-storage schedulable ability of the EV cluster improves the flexibility of scheduling and solves the model variable dimension. The proposed strategy reduces the carbon emissions and achieves a win-win situation for the multi-player in the power distribution system. © 2022 Power System Technology Press. All rights reserved.
引用
收藏
页码：4809 / 4821
页数：12
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