Risk assessment of electrical power systems considering traffic congestion

被引:0
作者
Wang, Hongping [1 ]
Fang, Yiping [1 ]
Zio, Enrico [1 ,2 ]
机构
[1] Univ Paris Saclay, Cent Supelec, Lab Genie Ind, Chaire Syst Sci & Energy Challenge, Gif Sur Yvette, France
[2] Politecn Milan, Energy Dept, Milan, Italy
来源
2018 3RD INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SAFETY (ICSRS) | 2018年
关键词
Transportation system; Power system; Traffic congestion; Risk assessment; CELL TRANSMISSION MODEL; TEMPORAL MODEL; HYBRID;
D O I
10.1109/ICSRS.2018.00069
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the increasing penetration of electric vehicles in the transportation system, more and more interactions appear between the transportation and power systems. This requires considering the impact of disturbances in the electrified transportation system onto the stability of the power system. This paper addresses this issue by proposing a method based on a cell transmission model (CTM) of the electrified transportation system and an alternative current (AC) model of the power system. Specifically, CTM is used to simulate the dynamic real-time traffic under congestion disturbances and evaluate the charging demands in the areas of the electrified transportation system. The charging demands are input to the AC model of the power system to calculate the fluctuations in power flow distributions. The proposed method can simulate the dynamic interactions between the electrified transportation system and the power system, and quantitatively measure the impacts of traffic disturbances on the stability of the power system. A numerical example is used to illustrate the proposed method.
引用
收藏
页码:386 / 389
页数:4
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