TrafficPowerFlow:A Time-space Network based Program for Optimal Traffic Power Flow Analysis

被引：0
|
作者：
Yan, Haoyuan [1 ]
Zhao, Tianyang [1 ]
机构：
[1] Jinan Univ, Energy & Elect Res Ctr, Zhuhai, Peoples R China
来源：
PROCEEDINGS OF THE 2021 IEEE 16TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2021) | 2021年
关键词：
power system; electric vehicle; vehicle routine problem; time-space network; DISTRIBUTION-SYSTEMS;
D O I：
10.1109/ICIEA51954.2021.9516287
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
With transportation electrification, the power systems and traffic systems are more and more interdependent on each other. To analysis this interdependence more concisely, an optimal traffic power flow problem is formulated with the help of alternating current (AC) optimal power flow and vehicle routing problem (VPR). These two problems are integrated into an unified time-space network (TSN), as a mixed integer programming problem. To solve the meso-scale level problems with multiple oriented destination pairs, the random permuted alternating direction method of multipliers is adopted to solve the formulated problem distributed. The case study is performed on the modified IEEE-30 and Sioux fall networks, and the results verify the effectiveness of the proposed scheme.
引用
收藏
页码：1466 / 1472
页数：7
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