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Auteurs principaux: Luo, Yanhong, Meng, Wenchao, Zhu, Xi, Elombo, Andreas, Rong, Hu, Xie, Bing, Zhang, Tianwen
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:https://arxiv.org/abs/2506.15191
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author Luo, Yanhong
Meng, Wenchao
Zhu, Xi
Elombo, Andreas
Rong, Hu
Xie, Bing
Zhang, Tianwen
author_facet Luo, Yanhong
Meng, Wenchao
Zhu, Xi
Elombo, Andreas
Rong, Hu
Xie, Bing
Zhang, Tianwen
contents With the increasing prevalence of distributed generators, islanded operation based on distributed generation is considered a vital means to enhance the reliability and resilience of smart grids. This paper investigates the main factors in islanding partition of smart grids and establishes a mathematical model for islanding division. A method to determine the maximum power supply range of distributed energy resources (DERs) based on the reachability matrix and power circle algorithm is proposed to improve computational efficiency. A dynamic programming method based on breadth-first search (BFS) is used to solve the islanding partition scheme, and a region correction method is applied to modify the maximum power supply area by considering controllable loads and prioritizing critical load restoration, thereby enhancing system resilience. Finally, simulation results verify the effectiveness of the proposed algorithm in improving smart grid resilience.
format Preprint
id arxiv_https___arxiv_org_abs_2506_15191
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Islanding Strategy for Smart Grids Oriented to Resilience Enhancement and Its Power Supply Range Optimization
Luo, Yanhong
Meng, Wenchao
Zhu, Xi
Elombo, Andreas
Rong, Hu
Xie, Bing
Zhang, Tianwen
Systems and Control
With the increasing prevalence of distributed generators, islanded operation based on distributed generation is considered a vital means to enhance the reliability and resilience of smart grids. This paper investigates the main factors in islanding partition of smart grids and establishes a mathematical model for islanding division. A method to determine the maximum power supply range of distributed energy resources (DERs) based on the reachability matrix and power circle algorithm is proposed to improve computational efficiency. A dynamic programming method based on breadth-first search (BFS) is used to solve the islanding partition scheme, and a region correction method is applied to modify the maximum power supply area by considering controllable loads and prioritizing critical load restoration, thereby enhancing system resilience. Finally, simulation results verify the effectiveness of the proposed algorithm in improving smart grid resilience.
title Islanding Strategy for Smart Grids Oriented to Resilience Enhancement and Its Power Supply Range Optimization
topic Systems and Control
url https://arxiv.org/abs/2506.15191