Joint Planning of EV Fast Charging Stations and Power Distribution Systems With Balanced Traffic Flow Assignment

被引:33
|
作者
Yang, Wentao [1 ,2 ]
Liu, Weijia [2 ,3 ]
Chung, Cy [2 ]
Wen, Fushuan [1 ,4 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
[2] Univ Saskatchewan, Dept Elect & Comp Engn, Saskatoon, SK S7N 5A9, Canada
[3] Natl Renewable Energy Lab, Power Syst Engn Ctr, Golden, CO 80401 USA
[4] Tallinn Univ Technol, Dept Elect Power Engn & Mechatron, EE-19086 Tallinn, Estonia
基金
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词
Planning; Load modeling; Microscopy; Electric vehicle charging; Roads; Computational modeling; Indexes; Bilayer expanded Benders decomposition; electric vehicle (EV); joint planning; multiagent-based microscopic traffic assignment model (MMTAM); traffic flow assignment; ROUTE SELECTION; NETWORKS; ENERGY; TRANSPORTATION; STRATEGY;
D O I
10.1109/TII.2020.2995742
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To tackle the challenges introduced by the fast-growing charging demand of electric vehicles (EVs), the power distribution systems (PDSs) and fast charging stations (FCSs) of EVs should be planned and operated in a more coordinated fashion. However, existing planning approaches generally aim to minimize investment costs in PDSs while ignoring the risk of worsening traffic conditions. To overcome this research gap, this article integrates the interests of traffic networks into PDS and FCS joint planning model to mitigate negative impacts on traffic conditions caused by installing FCSs. First, a novel microscopic method that is different from traditional assignment methods is proposed to simulate the influences of FCSs on traffic flows and EV charging loads. Then, a multiobjective joint planning model is developed to minimize both the planning costs and unbalanced traffic flows. A new bilayer Benders decomposition algorithm is designed to solve the proposed joint planning model. Numerical results on two practical systems in China validate the feasibility of our microscopic method by comparing the simulated results with real data. Compared with existing approaches, it is also demonstrated that the proposed joint planning approach helps to balance traffic flow assignments and relieve traffic congestion.
引用
收藏
页码:1795 / 1809
页数:15
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