| Title |
Guidance And Regulation Strategy For Electric Vehicle Charging And Discharging Behaviors Based On Fusion Of Road Network And Power Grid Information; [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] |
| ID_Doc |
28625 |
| Authors |
Yu S.; Du Z.; Chen L.; Chen N.; Li J. |
| Year |
2024 |
| Published |
Dianli Xitong Zidonghua/Automation of Electric Power Systems, 48, 7 |
| DOI |
http://dx.doi.org/10.7500/AEPS20230731003 |
| Abstract |
In the context of the rapid development of smart city concepts, the unguided travel 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 EV charging and discharging behaviors 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 is 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. © 2024 Automation of Electric Power Systems Press. All rights reserved. |
| Author Keywords |
behavior decision; dynamic electricity price; electric vehicle; multiple stakeholders; optimal guidance and regulation; power-transportation coupling network |
