Optimal configuration of distributed generation and EVs charging piles under EVs’ reserved charging mode

With the explosive growth of the number of electric vehicles (EVs), a reserved charging mode of EVs is designed to meet the autonomy of the charging demand. Meanwhile, an optimal configuration of EVs charging piles is proposed to meet the diversity of the charging demand, with optimal combination of distributed generations (DGs). The mathematical model is then constructed and solved by the second-order cone relaxation (SOCR) method, which can be converted into a mixed-integer second-order cone relaxation model. Finally, taking the actual geographical information in Hangzhou city as an example, the simulation is coupled with the IEEE 33-nodes distribution network to verify the rationality and effectiveness of this constructed model.

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Publication Details

Journal
IET conference proceedings.
Published
2025-03-01
DOI
https://doi.org/10.1049/icp.2025.0411
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimal configuration of distributed generation and EVs charging piles under EVs’ reserved charging mode

Zhuang Liming, Bing Shen, Shu Liu, Jinsong Liu et al.
IET conference proceedings.
Electric Vehicles and Infrastructure
article

Optimal configuration of distributed generation and EVs charging piles under EVs’ reserved charging mode

Zhuang Liming, Bing Shen, Shu Liu, Jinsong Liu, Ying Wang, Kaiyu Zhang
article en

Abstract

With the explosive growth of the number of electric vehicles (EVs), a reserved charging mode of EVs is designed to meet the autonomy of the charging demand. Meanwhile, an optimal configuration of EVs charging piles is proposed to meet the diversity of the charging demand, with optimal combination of distributed generations (DGs). The mathematical model is then constructed and solved by the second-order cone relaxation (SOCR) method, which can be converted into a mixed-integer second-order cone relaxation model. Finally, taking the actual geographical information in Hangzhou city as an example, the simulation is coupled with the IEEE 33-nodes distribution network to verify the rationality and effectiveness of this constructed model.

IET conference proceedings.Vol. 2024(33)
Shanghai Electric (China) (CN), China Jiliang University (CN)
Affordable and clean energy
Openalex Percentile: Top 96%
Electric Vehicles and Infrastructure
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Optimal configuration of distributed generation and EVs charging piles under EVs’ reserved charging mode — Zhuang Liming, Bing Shen, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS