Coordinated Expansion Planning for Flexible Interconnected Distribution Networks and Charging Facilities Considering Semi-Dynamic Traffic Flow

This paper proposes a coordinated expansion planning method for flexible interconnected distribution networks (FIDNs) and charging infrastructure that incorporates semi-dynamic traffic flow modeling. The approach enhances the comprehensive investment efficiency of planning schemes while promoting the rational and orderly integration of electric vehicles (EVs) into the grid. First, the travel characteristics of different EV types are analyzed. A spatiotemporal scheduling model for EV charging-discharging is developed based on a semi-dynamic traffic flow model, which accounts for diverse charging modes. Subsequently, an FIDN expansion planning model is formulated by integrating the interactions of multiple flexibility resources on the generation-grid-load-storage sides. This model embeds operational simulations of a coupled power-transportation system and employs a decomposition-iteration approach to transform the original problem into a bi-level optimization framework. Finally, case studies using a modified 24-node distribution network coupled with a 29-node transportation network are conducted, validating the effectiveness of the proposed model and methodology.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/icpet66029.2025.11160388
Primary Topic
Optimal Power Flow Distribution
Type
article
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article

Coordinated Expansion Planning for Flexible Interconnected Distribution Networks and Charging Facilities Considering Semi-Dynamic Traffic Flow

Juncheng Zhang, Yi Cao, Peng Yao, Tianying Xiao et al.
Optimal Power Flow Distribution
article

Coordinated Expansion Planning for Flexible Interconnected Distribution Networks and Charging Facilities Considering Semi-Dynamic Traffic Flow

Juncheng Zhang, Yi Cao, Peng Yao, Tianying Xiao, Xiaowei Li, Tianlu Luo
article en

Abstract

This paper proposes a coordinated expansion planning method for flexible interconnected distribution networks (FIDNs) and charging infrastructure that incorporates semi-dynamic traffic flow modeling. The approach enhances the comprehensive investment efficiency of planning schemes while promoting the rational and orderly integration of electric vehicles (EVs) into the grid. First, the travel characteristics of different EV types are analyzed. A spatiotemporal scheduling model for EV charging-discharging is developed based on a semi-dynamic traffic flow model, which accounts for diverse charging modes. Subsequently, an FIDN expansion planning model is formulated by integrating the interactions of multiple flexibility resources on the generation-grid-load-storage sides. This model embeds operational simulations of a coupled power-transportation system and employs a decomposition-iteration approach to transform the original problem into a bi-level optimization framework. Finally, case studies using a modified 24-node distribution network coupled with a 29-node transportation network are conducted, validating the effectiveness of the proposed model and methodology.

State Grid Corporation of China (China) (CN), Energy Research Institute (CN), Power Grid Corporation (India) (IN)
Openalex Percentile: Top 76%
Optimal Power Flow Distribution
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