Electric Vehicles Travel Guidance Strategy Based on Semi-dynamic Traffic Flow State Model

被引：0
作者：
Ke S. [1 ]
Chen L. [1 ]
Yang J. [1 ]
Wu F. [1 ]
Fan P. [1 ]
Ye L. [2 ]
机构：
[1] School of Electrical Engineering and Automation, Wuhan University, Hubei Province, Wuhan
[2] State Grid Hubei Marketing Service Center, Measurement Center, Hubei Province, Wuhan
来源：
Dianwang Jishu/Power System Technology | 2023年 / 47卷 / 08期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
cumulative prospect; distributed robust optimization; electric vehicles; semi-dynamic traffic flow states; travel decision utility; travel guidance;
D O I：
10.13335/j.1000-3673.pst.2022.0831
中图分类号：
学科分类号：
摘要：
In order to comprehensively consider the operations of power grids and transportation networks, and optimize the electric vehicles (EVs)’ traveling and charging control, an EV travel guidance strategy considering the decision utility model is proposed based on the characteristics of the semi-dynamic traffic flow state model and the cumulative prospect theory. First, an EV travel decision utility model is established based on the improved cumulative prospect theory considering the finite rationality of the user's travel decision. On this basis, a user travel guidance strategy and a semi-dynamic traffic flow model closely related to the user's cumulative prospect function and travel decision utility are proposed to realize the traffic balance distribution flow. Further, with a full consideration of the heterogeneity and autonomy of the users, the relationship between the EV travel decision and charging power randomness under the travel guidance strategy is analyzed, and a distributed robust optimal charging power control model is constructed. Finally, through the simulation of the power grid-road network coupling system, the effectiveness of the proposed travel guidance strategy and charging control optimization mode is verified. The results show that the EV travel guidance and charging strategy proposed can not only reduce the probability of traffic congestion and the power consumption of EV traveling, but also reduce the peak-valley differences of power grids and realize the coordinated operation of the power grids and the transportation networks. © 2023 Power System Technology Press. All rights reserved.
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页码：3362 / 3375
页数：13
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