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Cited by 266

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Resilience-Oriented Pre-Hurricane Resource Allocation in Distribution Systems Considering Electric Buses

Gao, Haixiang, Chen, Ying, Mei, Shengwei, Huang, Shaowei, Xu, Yin·2017·Proceedings of the IEEE

Abstract

Proactive preparedness to cope with extreme weather events is significantly helpful in reducing the restoration cost and enhancing the resilience of distribution systems. This paper is focused on the resource allocation problem in distribution systems ahead of a coming hurricane. Generation resources such as diesel oil and batteries are considered for allocation, which can be used to serve outage critical load in the post-hurricane restoration. Electric buses are also considered as a kind of resource. Considering the uncertainties of system faults, the allocation problem is formulated into a mixed-integer stochastic nonlinear program. A heuristic method is then proposed, which obtains the allocation plan by solving a mixed-integer linear program. Numerical simulations are performed on the IEEE 123-node feeder system under several scenarios to demonstrate the effectiveness of the proposed method. The impacts of resources transportation cost, initial distribution of electric buses, and hurricane severity on the allocation plan are discussed.

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Metadata

Authors
Gao, H., Chen, Y., Mei, S., Huang, S., & Xu, Y.
Venue
Proceedings of the IEEE
Published
2017-07
Volume
105
Issue
7
Pages
1214-1233
ISSN
  • 0018-9219 (ISSN-L)
  • 1558-2256
OpenAlex
W2595394152
Cited by
266
References
39
FWCI
7.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Resilience-Oriented Pre-Hurricane Resource Allocation in Distribution Systems Considering Electric Buses. https://app.cochat.ai/papers/10.1109/jproc.2017.2666548
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Gao, H., Chen, Y., Mei, S., Huang, S., & Xu, Y. (2017). Resilience-Oriented Pre-Hurricane Resource Allocation in Distribution Systems Considering Electric Buses. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2017.2666548

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