Electric Vehicle Dispatch Strategy Based on Bi-layer Optimization

This paper proposes a scheduling strategy for electric vehicles (EVs) based on bi-layer optimization, aiming to coordinate the interaction between EVs and the power system to improve energy efficiency. At the transmission network level, the charging and discharging loads of EVs are coordinated and optimized with the generating unit output and wind power output through the day-ahead unit commitment model to minimize the generation cost; at the distribution network level, based on the optimal power flow model, the total charging and discharging loads of EVs are optimally allocated to each node of the distribution network to reduce the total network loss of the distribution network. The effectiveness of the strategy in reducing the total system cost and optimizing the network operation is verified through simulation analysis.

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Publication Details

Published
2025-04-07
DOI
https://doi.org/10.1109/icpies65420.2025.11070081
Primary Topic
Electric Vehicles and Infrastructure
Type
article
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article

Electric Vehicle Dispatch Strategy Based on Bi-layer Optimization

Qin Xu, Pan Dai, Luyao Ding, You Xue
Electric Vehicles and Infrastructure
article

Electric Vehicle Dispatch Strategy Based on Bi-layer Optimization

Qin Xu, Pan Dai, Luyao Ding, You Xue
article en

Abstract

This paper proposes a scheduling strategy for electric vehicles (EVs) based on bi-layer optimization, aiming to coordinate the interaction between EVs and the power system to improve energy efficiency. At the transmission network level, the charging and discharging loads of EVs are coordinated and optimized with the generating unit output and wind power output through the day-ahead unit commitment model to minimize the generation cost; at the distribution network level, based on the optimal power flow model, the total charging and discharging loads of EVs are optimally allocated to each node of the distribution network to reduce the total network loss of the distribution network. The effectiveness of the strategy in reducing the total system cost and optimizing the network operation is verified through simulation analysis.

State Grid Corporation of China (China) (CN), Shanghai Electric (China) (CN), Zhejiang University (CN)
Openalex Percentile: Top 85%
Electric Vehicles and Infrastructure
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Electric Vehicle Dispatch Strategy Based on Bi-layer Optimization — Qin Xu, Pan Dai, et al. · (2025) | TGRS Research Map | TGRS