控制重构
拓扑(电路)
电流(流体)
拓扑优化
电动汽车
分布(数学)
网络拓扑
计算机科学
工程类
电气工程
功率(物理)
物理
数学
计算机网络
嵌入式系统
有限元法
结构工程
数学分析
量子力学
作者
Yongqiang Kang,Gang Lü,Meng Chen,Xinglong Li,Shuaibing Li
出处
期刊:Energies
[MDPI AG]
日期:2025-01-16
卷期号:18 (2): 373-373
被引量:3
摘要
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.
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