Xiong, Houbo, Xu, Yan, Dong, Zhao Yang, Gan, Wei, Guo, Chuangxin and Yan, Mingyu
2025.
A real-time robust method for post-disaster load restoration of coordinated power-transportation system with vehicle-to-grid response.
IEEE Transactions on Smart Grid
10.1109/tsg.2025.3568619
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Abstract
With the proliferation of electric vehicles (EVs), vehicle-to-grid (V2G) capability emerges as a potential resource for load restoration after a large disruption. This paper presents a real-time post-disaster load restoration method for the coordinated power distribution networks (PDN) and urban traffic networks (UTN) with V2G response. The multi-period restoration problem is modeled as a dynamic programming-based multi-stage robust optimization model, addressing uncertainties of renewable generation and traffic demands. It incorporates a dynamic traffic assignment scheme to characterize vehicle travels and V2G services within short time slots. Then, an improved robust dual dynamic programming algorithm is proposed to solve the multi-stage robust optimization problem. For online application, the solved value functions from each stage serve as per-period policies, leveraging knowledge of future uncertainties to quickly guide real-time load restoration through distributed resource dispatch, network reconfiguration, and V2G assignments. Numerical experiments with a 33-bus PDN and 20-road UTN, plus a real-world 91-bus PDN with 35-road UTN, validate the effectiveness of proposed restoration method.
| Item Type: | Article |
|---|---|
| Date Type: | Published Online |
| Status: | In Press |
| Schools: | Schools > Engineering |
| Publisher: | Institute of Electrical and Electronics Engineers |
| ISSN: | 1949-3053 |
| Date of First Compliant Deposit: | 10 June 2025 |
| Date of Acceptance: | 27 April 2025 |
| Last Modified: | 10 Jun 2025 10:00 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/178743 |
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