Traffic and Power Flow Optimization of Coupled Power-Transportation Networks Considering Environment-Aware User Behavior

被引:1
|
作者
Cao, Zhiao [1 ]
Han, Yinghua [2 ]
Zhao, Qiang [1 ]
Wang, Jinkuan [3 ]
Li, Yuchun [2 ]
Zhao, Shuyi [4 ]
机构
[1] Northeastern Univ Qinhuangdao, Sch Control Engn, Qinhuangdao 066004, Peoples R China
[2] Northeastern Univ Qinhuangdao, Sch Comp & Commun Engn, Qinhuangdao 066004, Peoples R China
[3] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[4] Taylors Univ, Fac Business & Law, Subang Jaya 47600, Malaysia
来源
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION | 2024年 / 10卷 / 02期
基金
中国国家自然科学基金;
关键词
Optimization; Behavioral sciences; Costs; Transportation; Routing; Roads; Renewable energy sources; Discrete choice model; electric vehicle (EV); environment aware; power system; transportation system; ELECTRIC VEHICLES; CHARGING STATIONS; EQUILIBRIUM; MODELS; CONVERGENCE; OPERATIONS;
D O I
10.1109/TTE.2023.3315475
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The rapid proliferation of electric vehicles (EVs) has promoted the process of electrified transportation, which deepened the interdependency of power and transportation networks (TNs). Considering the routing preference of EV travelers, this article proposes an environment-aware dispatch model to coordinate coupled power-TNs (CPTNs) toward higher economic benefits and renewable energy utilization. Specifically, discrete choice models with environmental factor are developed to characterize the user behavior. Based on the constructed user behavior models, an integrated optimal traffic-power flow (IOTPF) model is proposed and an environment-aware user equilibrium (EUE) can be achieved. A decentralized optimization algorithm based on Gauss-Seidel iterative process is developed to solve the equilibrium flows. Numerical results analyze the influence of environment-aware user behavior on the traveling cost and the utilization of renewable energy, the effectiveness of the IOTPF model in coordinating the optimal strategy of the coupled network is demonstrated.
引用
收藏
页码:3940 / 3955
页数:16
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