Dynamic load restoration considering the interdependencies between power distribution systems and urban transportation systems

Ying Wang; Yin Xu; Jiaxu Li; Chen Li; Jinghan He; Jiayu Liu; Qiqi Zhang

doi:10.17775/CSEEJPES.2020.02250

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Dynamic load restoration considering the interdependencies between power distribution systems and urban transportation systems

更新时间：2025-12-18

- Dynamic load restoration considering the interdependencies between power distribution systems and urban transportation systems
- CSEE Journal of Power and Energy Systems Vol. 6, Issue 4, Pages: 772-781(2020)
- 作者机构：
  
  1. School of Electrical Engineering, Beijing Jiaotong University (BJTU),Beijing,China
  2. State Grid Shanghai Electrical Power Company Research Institute,Shanghai,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2020.02250
  CLC：
- Published：2020
- 稿件说明：
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Ying Wang, Yin Xu, Jiaxu Li, et al. Dynamic load restoration considering the interdependencies between power distribution systems and urban transportation systems[J]. CSEE Journal of Power and Energy Systems, 2020, 6(4): 772-781.
DOI：

Ying Wang, Yin Xu, Jiaxu Li, et al. Dynamic load restoration considering the interdependencies between power distribution systems and urban transportation systems[J]. CSEE Journal of Power and Energy Systems, 2020, 6(4): 772-781. DOI： 10.17775/CSEEJPES.2020.02250.

摘要

Abstract

After a major outage

mobile emergency resources (MERs) can be dispatched via the transportation system (TS) for service restoration to critical loads in the power distribution system (PDS). In this case study

the efficiency of service restoration in the PDS is associated with the traffic efficiency of the TS

and vice versa

because the PDS and TS are mutually coupled through traffic lights and MERs. This paper proposes a service restoration method considering interdependency between the PDS and TS

which is formulated as a mixed-integer linear program (MILP). The objective includes maximizing the efficiency of both PDS restoration and TS. By solving the MILP

the dynamic load restoration and MER dispatch strategies can be obtained. For the PDS

the availability of MERs

including mobile sources and repair crews

relates to their dispatch in the TS

and their relationship is formulated as mathematical models. For the TS

the dynamic traffic flow is modeled using the cell transmission model and the effect of traffic lights is considered. Case studies validate the effectiveness of the proposed method.

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Related Author

Haiyang Wan

Wenxia Liu

Qingxin Shi

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Yuehan Wang

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Furong Li

Related Institution

College of Electrical and Electronics Engineering, North China Electric Power University

Dalian University of Technology

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Department of Electrical and Electronic Engineering, Youngsan University, Yangsan, South Korea

Gachon University, Seoul, South Korea

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