Resilience assessment of new-type power system based on CPS dual-star network

To improve the new-type power system's resilience against natural climate disasters, this paper proposes a grid resilience evaluation model based on the cyber-physical systems (CPS) dual-star network, taking full account of flexible resources such as photovoltaics and wind turbines. First, an association matrix is established according to the interconnection mechanism of the grid structure to construct a dual-star topology for the physical-information coupling network. Then, by applying branch reactance and complex network theory parameters to weight the coupling network, critical nodes and branches are identified prior to disturbances and the load loss following simulated impacts is calculated. Finally, comprehensively considering the integration of flexible resources into the grid, the grid resilience level is quantified by the ratio of restored loads to lost loads after network reconstruction. The case study not only allows for the unified quantification of grid resilience under different natural disaster disturbance modes through CPS but also provides valuable references and insights for grid planning of new-type power systems and the protection of crucial nodes based on the node weights within the coupled network.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/icpet66029.2025.11160449
Primary Topic
Smart Grid and Power Systems
Type
article
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Resilience assessment of new-type power system based on CPS dual-star network

Liu Jiale, Xianzhuo Liu, Weidong Gao, Haohuai Wang et al.
Smart Grid and Power Systems
article

Resilience assessment of new-type power system based on CPS dual-star network

Liu Jiale, Xianzhuo Liu, Weidong Gao, Haohuai Wang, Weisi Deng
article en

Abstract

To improve the new-type power system's resilience against natural climate disasters, this paper proposes a grid resilience evaluation model based on the cyber-physical systems (CPS) dual-star network, taking full account of flexible resources such as photovoltaics and wind turbines. First, an association matrix is established according to the interconnection mechanism of the grid structure to construct a dual-star topology for the physical-information coupling network. Then, by applying branch reactance and complex network theory parameters to weight the coupling network, critical nodes and branches are identified prior to disturbances and the load loss following simulated impacts is calculated. Finally, comprehensively considering the integration of flexible resources into the grid, the grid resilience level is quantified by the ratio of restored loads to lost loads after network reconstruction. The case study not only allows for the unified quantification of grid resilience under different natural disaster disturbance modes through CPS but also provides valuable references and insights for grid planning of new-type power systems and the protection of crucial nodes based on the node weights within the coupled network.

China Southern Power Grid (China) (CN)
Openalex Percentile: Top 76%
Smart Grid and Power Systems
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