Modeling and Vulnerability Analysis of Multi-layer Urban Electric-transportation Interdependent Networks Under Extreme Events

Gengming Liu; Wenxia Liu; Qingxin Shi

doi:10.17775/CSEEJPES.2022.07440

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Modeling and Vulnerability Analysis of Multi-layer Urban Electric-transportation Interdependent Networks Under Extreme Events

Regular Papers | 更新时间：2026-03-25

- Modeling and Vulnerability Analysis of Multi-layer Urban Electric-transportation Interdependent Networks Under Extreme Events
- Modeling and Vulnerability Analysis of Multi-layer Urban Electric-transportation Interdependent Networks Under Extreme Events
- 中国电机工程学会电力与能源系统学报(英文) 2026年12卷第1期页码：466-480
- 作者机构：
  
  School of Electrical and Electronic Engineering, North China Electric Power University,Beijing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.07440
  中图分类号：
- 纸质出版：2026
- 稿件说明：
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Gengming Liu, Wenxia Liu, Qingxin Shi. Modeling and Vulnerability Analysis of Multi-layer Urban Electric-transportation Interdependent Networks Under Extreme Events[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(1):466-480.

Gengming Liu, Wenxia Liu, Qingxin Shi. Modeling and Vulnerability Analysis of Multi-layer Urban Electric-transportation Interdependent Networks Under Extreme Events[J]. CSEE Journal of Power and Energy Systems, 2026, 12(1): 466-480.
Gengming Liu, Wenxia Liu, Qingxin Shi. Modeling and Vulnerability Analysis of Multi-layer Urban Electric-transportation Interdependent Networks Under Extreme Events[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(1):466-480. DOI： 10.17775/CSEEJPES.2022.07440.

Gengming Liu, Wenxia Liu, Qingxin Shi. Modeling and Vulnerability Analysis of Multi-layer Urban Electric-transportation Interdependent Networks Under Extreme Events[J]. CSEE Journal of Power and Energy Systems, 2026, 12(1): 466-480. DOI： 10.17775/CSEEJPES.2022.07440.

摘要

Abstract

The increasing electrification of urban transportation

i.e.

subways and electric vehicles (EV)

brings more interactions between the power system and transportation system and further results in fault propagation across them. To analyze vulnerability of the coupling system under extreme events

this paper establishes a multilayer urban electric-transportation interdependent network (ETIN) model. First

a weighted coupled metro-road traffic network (CTN) model and network path planning approach are proposed. A prospect theory-based failure load redistribution (FLR) method is further established to account for uncertainty of TN link capacity affected by power supply. Second

topology and emergency control strategy of power network (PN) are modeled

followed by formulation of multilayer ETIN model. In particular

the inter-layer fault propagation from PN to TN is modeled based on power supply correlation strength

while from TN to PN is modeled based on traffic flow. A few indexes are then defined to quantify vulnerability of ETIN under deliberate attack. Finally

the proposed method is verified on an electric-transportation system to show influence of fault propagations within ETIN on its vulnerability under extreme events.

关键词

Keywords

references

24. Beijing Transport Institute. ( 2021, Dec. ). 2021 Beijing transport development annual report . Beijing Transport Institute, Beijing, CHINA. [Online ] . Available: https://www.bjtrc.org.cn/List/index/cid/7.html

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