Semi-Dynamic Traffic Flow-Coupled Power-Transportation Coordinated Operation Simulation with Multi-Mode EV Integration

The promotion of electric vehicles (EVs)—a principal pathway toward transport electrification—strongly supports the low-carbon transition of energy use. Nevertheless, large-scale EV charging introduces new challenges to distribution network operation due to the spatiotemporal coupling of EVs and the time-varying nature of traffic flows that reshape charging demand distribution. To address these issues, this paper develops a semi-dynamic traffic flow-coupled power-transportation coordinated operation simulation with multi-mode EV integration. Building on a semi-dynamic traffic-flow model, a multi-mode EV regulation framework is established to characterize the travel patterns of three vehicle categories— private EVs, electric taxis, and electric buses—each with distinct integration mechanisms. The traffic flow influence is then incorporated to formulate and solve the coordinated operation simulation model. Numerical tests conducted on a modified benchmark system validate the effectiveness of the proposed approach.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/icpet66029.2025.11160503
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
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article

Semi-Dynamic Traffic Flow-Coupled Power-Transportation Coordinated Operation Simulation with Multi-Mode EV Integration

Yi Gan, Yangyang Luo, Yi Cao, Tianying Xiao et al.
Traffic control and management
article

Semi-Dynamic Traffic Flow-Coupled Power-Transportation Coordinated Operation Simulation with Multi-Mode EV Integration

Yi Gan, Yangyang Luo, Yi Cao, Tianying Xiao, Tianlu Luo, Yuanxiang Yu
article en

Abstract

The promotion of electric vehicles (EVs)—a principal pathway toward transport electrification—strongly supports the low-carbon transition of energy use. Nevertheless, large-scale EV charging introduces new challenges to distribution network operation due to the spatiotemporal coupling of EVs and the time-varying nature of traffic flows that reshape charging demand distribution. To address these issues, this paper develops a semi-dynamic traffic flow-coupled power-transportation coordinated operation simulation with multi-mode EV integration. Building on a semi-dynamic traffic-flow model, a multi-mode EV regulation framework is established to characterize the travel patterns of three vehicle categories— private EVs, electric taxis, and electric buses—each with distinct integration mechanisms. The traffic flow influence is then incorporated to formulate and solve the coordinated operation simulation model. Numerical tests conducted on a modified benchmark system validate the effectiveness of the proposed approach.

State Grid Corporation of China (China) (CN), Energy Research Institute (CN), Power Grid Corporation (India) (IN)
Openalex Percentile: Top 69%
Traffic control and management
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