Island recovery methods considering optimal scheduling of emergency mobile resources

In recent years, extreme weather events caused by climate change, such as ice storms, typhoons and earthquakes, have caused increasingly devastating damage to critical energy infrastructure. Emergency mobile resources can be matched with difference distributed power collocation, application fault active isolation, island reconstruction way to ensure the key load supply, however, limited by the distributed power resources under the time and space dimension of volatility, how to fully coordinate emergency mobile resources in power system load recovery has become a key technical problem to be solved. In view of the above problems, this paper proposes a two-disaster load recovery method for emergency mobile resources (Emergency Power Supply, EPS) and distributed power island. First, Put forward the pre-disaster EPS pre-dispatching method with balanced considering the mobile characteristics and operation cost; next, Based on the pre-disaster EPS pre-scheduling method, Establish the primary and secondary double objective functions from the aspects of cutting load and network loss, And normalized to the post-disaster island recovery scheduling model considering the collaborative application of EPS, fixed energy storage and distributed power island; last, Apply the proposed method to fault scenarios under improved IEEE-33 nodes and IEEE-69 nodes. The example shows that the proposed pre-post-disaster two-stage model can obtain the optimal EPS scheduling path and the best island division mode, In contrast to not considering pre-disaster pre-scheduling, It can restore the interrupt load more quickly and efficiently.

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Publication Details

Journal
Scientific Reports
Published
2025-10-16
DOI
https://doi.org/10.1038/s41598-025-20176-6
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
0.00

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article

Island recovery methods considering optimal scheduling of emergency mobile resources

Tingjun Li, Hao Zhang, Xiaoqing Han, Xin Chen
Scientific Reports
Optimization and Search Problems
article

Island recovery methods considering optimal scheduling of emergency mobile resources

Tingjun Li, Hao Zhang, Xiaoqing Han, Xin Chen
article en

Abstract

In recent years, extreme weather events caused by climate change, such as ice storms, typhoons and earthquakes, have caused increasingly devastating damage to critical energy infrastructure. Emergency mobile resources can be matched with difference distributed power collocation, application fault active isolation, island reconstruction way to ensure the key load supply, however, limited by the distributed power resources under the time and space dimension of volatility, how to fully coordinate emergency mobile resources in power system load recovery has become a key technical problem to be solved. In view of the above problems, this paper proposes a two-disaster load recovery method for emergency mobile resources (Emergency Power Supply, EPS) and distributed power island. First, Put forward the pre-disaster EPS pre-dispatching method with balanced considering the mobile characteristics and operation cost; next, Based on the pre-disaster EPS pre-scheduling method, Establish the primary and secondary double objective functions from the aspects of cutting load and network loss, And normalized to the post-disaster island recovery scheduling model considering the collaborative application of EPS, fixed energy storage and distributed power island; last, Apply the proposed method to fault scenarios under improved IEEE-33 nodes and IEEE-69 nodes. The example shows that the proposed pre-post-disaster two-stage model can obtain the optimal EPS scheduling path and the best island division mode, In contrast to not considering pre-disaster pre-scheduling, It can restore the interrupt load more quickly and efficiently.

Scientific ReportsVol. 15(1)
Shanxi Coal Transportation and Sales Group (China) (CN), Taiyuan University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 65%
Optimization and Search Problems
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