Boundary identification and mitigation of cascading failures based on power flow transfer correlation
The large-scale power flow transfer is commonly regarded as the essential driver of cascading failures. This study proposes a model to delineate the widespread correlations in N-k cascading failures based on the power flow transfer similarity, focusing on circumscribing these correlations and improv...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525005125 |
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| Summary: | The large-scale power flow transfer is commonly regarded as the essential driver of cascading failures. This study proposes a model to delineate the widespread correlations in N-k cascading failures based on the power flow transfer similarity, focusing on circumscribing these correlations and improving resilience against large blackouts. A correlation function is constructed to locate and characterize the power flow transfer similarity correlation boundary. To impede the correlation and mitigate cascading failures along various paths, the screening strategy of minimum driver transmission lines at the boundary is proposed. The scale-free characteristics of correlations are demonstrated through statistical analysis of typical power systems. This emphasizes the role of the boundary in failure propagation, serving as a transition point from local effects to system-wide long-range correlations. Taking the IEEE 39-bus and IEEE 118-bus systems as examples, implementing control measures on the minimum driver transmission lines at the boundary effectively reduces the probability of large blackouts and enhances transient stability against high-risk N-k cascading failures.© 2017 Elsevier Inc. All rights reserved. |
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| ISSN: | 0142-0615 |