Zone Partitioning Method for Electric Vehicle Group Virtual Energy Storage Scheduling

With the rapid development of electric vehicles, more and more electric vehicles are connected to and interact with the distribution network. Aiming at the communication pressure generated by dispatching electric vehicles on the control center of distribution network, a virtual energy storage scheduling zoning method for electric vehicles is proposed in this paper. Firstly, the electrical distance of the grid is calculated based on the sensitivity method to determine the electrical relationship between different nodes. Then, considering the electrical distance and the matching degree of supply and demand, the optimization degree of the power grid is evaluated. Finally, based on the IEEE30 node simulation calculation, according to the change of the grid load and the change of the electric vehicle charging and discharging power under each cycle, the grid is periodically divided into regions, and the effectiveness of the proposed model and method is verified.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/cepgt64143.2024.11064790
Primary Topic
Electric Vehicles and Infrastructure
Type
article
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Zone Partitioning Method for Electric Vehicle Group Virtual Energy Storage Scheduling

Qifang Chen, Haiqing Cai, Haohan Gu, Mingchao Xia et al.
Electric Vehicles and Infrastructure
article

Zone Partitioning Method for Electric Vehicle Group Virtual Energy Storage Scheduling

Qifang Chen, Haiqing Cai, Haohan Gu, Mingchao Xia, Yifei Zhao
article en

Abstract

With the rapid development of electric vehicles, more and more electric vehicles are connected to and interact with the distribution network. Aiming at the communication pressure generated by dispatching electric vehicles on the control center of distribution network, a virtual energy storage scheduling zoning method for electric vehicles is proposed in this paper. Firstly, the electrical distance of the grid is calculated based on the sensitivity method to determine the electrical relationship between different nodes. Then, considering the electrical distance and the matching degree of supply and demand, the optimization degree of the power grid is evaluated. Finally, based on the IEEE30 node simulation calculation, according to the change of the grid load and the change of the electric vehicle charging and discharging power under each cycle, the grid is periodically divided into regions, and the effectiveness of the proposed model and method is verified.

Beijing Jiaotong University (CN), China Southern Power Grid (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 72%
Electric Vehicles and Infrastructure
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