A real-time robust method for post-disaster load restoration of coordinated power-transportation system with vehicle-to-grid response

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
Additional Information:	License information from Publisher: LICENSE 1: URL: https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html, Start Date: 2025-01-01
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	1949-3053
Last Modified:	04 Jun 2025 09:30
URI:	https://orca.cardiff.ac.uk/id/eprint/178743

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