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A coordinated restoration method of hybrid ac/dc distribution network for resilience enhancement

Zhang, Lu, Wang, Chen, Liang, Jun ORCID:, Wu, Mingzhe, Zhang, Bo and Tang, Wei 2023. A coordinated restoration method of hybrid ac/dc distribution network for resilience enhancement. IEEE Transactions on Smart Grid 14 (1) , pp. 112-125. 10.1109/TSG.2022.3192910

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In recent years, the frequent occurrence of extreme natural disasters has caused huge economic losses, which makes it extremely important to improve the resilience of distribution networks. With the increasing penetration of DC sources and loads, the urban distribution network is transitioning from AC to hybrid AC/DC configuration that can operate in a ring structure. The features of flexible interconnections and low network losses of DC lines can break the bottleneck of traditional restoration methods for AC distribution networks under extreme disasters, thereby further enhancing the resilience of distribution networks. Based on the interconnection feature of DC lines, this paper proposes a topology search strategy with DC lines as the core to realize the joint recovery of multiple power sources and multiple critical loads. With the obtained interconnection topology after topology search, a fault restoration model for maximizing the resilience index is established. To ensure the generality of the proposed model and explore the advantages of flexible DC power control, this paper transforms the objective function from the complex model into a mixed integer second-order cone programming (MISOCP) that can be solved directly. The optimal restoration strategy for resilience enhancement of AC/DC hybrid distribution networks can be obtained by solving the proposed MISOCP model. The numerical results in case study validate the effectiveness and superiority of the proposed method.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 1949-3053
Date of First Compliant Deposit: 14 October 2022
Last Modified: 05 May 2023 15:04

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