Low carbon planning of flexible distribution network considering orderly charging and discharging of EV

被引:0
|
作者
Wang, Lei [1 ]
Sun, Qianbo [1 ]
Wang, Xuli [2 ]
Shi, Tiancheng [2 ]
Yang, Xin [2 ]
Xu, Haihua [3 ]
机构
[1] Hefei Univ Technol, Anhui Key Lab New Energy Utilizat & Energy Conserv, Hefei 230002, Peoples R China
[2] Econ & Tech Res Inst, State Grid Anhui Elect Power Co Ltd, Hefei 230022, Peoples R China
[3] Anhui Huadian Engn Consulting & Design wCo Ltd, China Energy Construct Grp, Hefei 230022, Peoples R China
关键词
Electric vehicle cluster; Demand response; Carbon emission; Soft open point; Distribution network planning; GENERATION;
D O I
10.1016/j.epsr.2025.111546
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the context of the "dual carbon" goal, the rapid growth of distributed new energy and electric vehicles (EV) has brought great challenges to the safe and economic operation of the distribution grid. In order to improve the economy and low carbon of distribution network planning, this paper proposes a low carbon planning method of flexible distribution network considering EV orderly charging and discharging. Firstly, a dynamic charging and discharging boundary aggregation model of EV cluster is constructed based on the EV individual power feasible domain model. Secondly, using the carbon emission flow theory as a tool, a two-layer low-carbon planning model of distribution network considering EV orderly charge and discharge is established. The upper layer plans the distribution network lines, two-way charging piles, and intelligent soft open point (SOP), while the lower layer optimizes EV charge and discharge strategy and user consumption strategy with the goal of minimum comprehensive operating cost. Then, the two-layer nonlinear model is transformed into a single-layer mixed- integer second-order cone programming model by means of upper-lower linkage, large M method and second- order cone relaxation, which is solved by commercial solvers. Finally, the feasibility and validity of the model are verified in the improved 33-node system.
引用
收藏
页数:15
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