@inproceedings{9ee6a836cad84c3c8a985991e80377dd,
title = "TrafficPowerFlow:A Time-space Network based Program for Optimal Traffic Power Flow Analysis",
abstract = "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.",
keywords = "electric vehicle, power system, time-space network, vehicle routine problem",
author = "Haoyuan Yan and Tianyang Zhao",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021 ; Conference date: 01-08-2021 Through 04-08-2021",
year = "2021",
month = aug,
day = "1",
doi = "10.1109/ICIEA51954.2021.9516287",
language = "英语",
series = "Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1466--1472",
booktitle = "Proceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021",
}