Guidance and Regulation Strategy for Charging and Discharging Behaviors of Electric Vehicles Based on Fusion of Road Network and Power Grid Information

YU Shaohua; DU Zhaobin; CHEN Lidan; CHEN Nanxing; LI Jiale

doi:10.7500/AEPS20230731003

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Guidance and Regulation Strategy for Charging and Discharging Behaviors of Electric Vehicles Based on Fusion of Road Network and Power Grid Information

Special Topic on Key Technologies for Intelligent and Friendly Interaction Between Large-scale Electric Vehicles and Power Grid | 更新时间：2025-06-16

- Guidance and Regulation Strategy for Charging and Discharging Behaviors of Electric Vehicles Based on Fusion of Road Network and Power Grid Information
- Automation of Electric Power Systems Vol. 48, Issue 7, Pages: 169-180(2024)
- 作者机构：
  
  1.华南理工大学电力学院，广东省广州市 510641
  2.广州航海学院轮机工程学院，广东省广州市 510725
- 作者简介：
- 基金信息：
  
  Guangdong Provincial Key-area Research and Development Program of China(2019B111109001)
- DOI：10.7500/AEPS20230731003
  CLC：
- Received：31 July 2023，
  
  Revised：2023-12-22，
  
  Published Online：06 March 2024，
  
  Published：10 April 2024
- 稿件说明：
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玉少华,杜兆斌,陈丽丹等.融合路网-电网信息的电动汽车充放电行为引导与调控策略[J].电力系统自动化,2024,48(7):169-180.

YU Shaohua,DU Zhaobin,CHEN Lidan,et al.Guidance and Regulation Strategy for Charging and Discharging Behaviors of Electric Vehicles Based on Fusion of Road Network and Power Grid Information[J].Automation of Electric Power Systems,2024,48(7):169-180.
玉少华,杜兆斌,陈丽丹等.融合路网-电网信息的电动汽车充放电行为引导与调控策略[J].电力系统自动化,2024,48(7):169-180. DOI： 10.7500/AEPS20230731003.

YU Shaohua,DU Zhaobin,CHEN Lidan,et al.Guidance and Regulation Strategy for Charging and Discharging Behaviors of Electric Vehicles Based on Fusion of Road Network and Power Grid Information[J].Automation of Electric Power Systems,2024,48(7):169-180. DOI： 10.7500/AEPS20230731003.

摘要

在智慧城市理念快速发展的背景下，电动汽车（EV）无引导的出行与无序的充放电行为影响着电力-交通耦合网络的安全高效运行。针对此问题，提出一种融合路网-电网信息的EV充放电行为引导与调控两阶段优化策略。首先，分析电力-交通耦合网络的交互影响因素和方式，提出EV充放电出行路径引导和调控架构；其次，提出融合路网-电网信息的EV充放电出行决策电价动态更新策略，并建立计及用户时间-经济成本的EV充放电出行路径决策优化模型；然后，兼顾多方主体利益，建立EV充放电调控模型；最后，仿真结果表明

所提策略能够综合考虑路网和电网实时运行状态，充分挖掘EV在路径引导与充放电调控过程中的可调潜力，实现系统协调运行和多方共赢。

Abstract

In the context of the rapid development of smart city concepts

the unguided traveling and disorderly charging and discharging behaviors of electric vehicles (EVs) are affecting the safe and efficient operation of the power-transportation coupling network. To address this problem

this paper proposes a two-phase optimal guidance and regulation strategy for charging and discharging behaviors of EVs based on the fusion of road network and power grid information. Firstly

the interactive factors and modes of the power-transportation coupling network are analyzed

and the guidance and regulation architecture of EV charging and discharging travel path are proposed. Secondly

a dynamic updating strategy for the electricity price of EV charging and discharging travel decision is proposed based on the fusion of road network and power grid information

and an optimization model for EV charging and discharging travel path decision-making is established considering the user time-economic cost. Then

the EV charging and discharging regulation model is established considering the interests of multiple stakeholders. Finally

the simulation results show that the proposed strategy can comprehensively consider the real-time operation state of the road network and the power grid

fully tap into the adjustable potential in the process of path guidance and charging and discharging regulation of EVs

and realize the coordinated operation of the system and multi-party win-win.

关键词

Keywords

references

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