Collaborative Optimization of Direct Current Distribution Network Based on Scaled Electric Vehicles Charging and Discharging and Soft Open Points Topology Reconfiguration

Yongqiang Kang (), Gang Lu, Meng Chen, Xinglong Li and Shuaibing Li
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Yongqiang Kang: School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Gang Lu: School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Meng Chen: School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Xinglong Li: School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Shuaibing Li: School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

Energies, 2025, vol. 18, issue 2, 1-18

Abstract: In order to reduce the impact of the performance degradation of a direct current (DC) distribution network system caused by the access of scaled electric vehicles (EVs), this paper proposes a collaborative optimization method for a DC distribution network based on scaled EVs charging and discharging and soft open points (SOPs) topology reconfiguration. Firstly, based on the normal charging of scaled EVs, the EV discharge power model and the discharge response model were established based on the V2G (vehicle-to-grid) characteristic. Based on the characteristics of SOPs regulating voltage and power distribution, the SOP model and its equivalent model of DC system are established to identify the collaborative optimization of scaled EVs charging and discharging and SOPs topology reconstruction. Secondly, the bi-level model that optimizes multi-objects, including distribution network system loss, total voltage deviation and customer benefits, is established. The upper and lower models use the multi-objective particle swarm optimization (MOPSO) algorithm and simulated annealing algorithm to jointly optimize the optimal EV discharge power and the optimal SOP access configuration simultaneously. Finally, the effectiveness of the proposed collaborative optimization method is verified by a modified IEEE 33-node DC system example.

Keywords: electric vehicles; DC distribution network; soft open points; topology reconstruction; collaborative optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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