Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Cascading-driven Intentional Controlled Islanding for Enhancing Power Grid Operational Resilience
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1KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia 1678, Cyprus;2University of Melbourne, Melbourne,Australia;3The University of Manchester, Manchester, UK

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This work was supported in part by H2020 and Horizon Europe program through the projects “HVDC-based Grid Architectures for Reliable and Resilient Wide Spread Hybrid AC/DC Transmission Systems” (HVDC-WISE) (No. 101075424), “Reliability, Resilience, and Defense Technology for the Grid” (R2D2) (No. 101075714), and “EUniversal” (No. 864334).

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    Abstract:

    Power grids face significant threats from severe disturbances, often triggered by extreme weather, leading to widespread cascading power outages. Although intentional controlled islanding (ICI) is an effective last-resort operational mitigation strategy employed by system operators worldwide to prevent complete cascading blackouts, the impact of large-scale disturbances, particularly weather-induced cascading outages, on when and where to implement the ICI, is neither adequately considered nor reflected in current operational decision-making standards and procedures. This paper proposes a holistic cascading-driven ICI framework that seamlessly integrates advanced weather-related event modelling and cascading risk quantification of high-impact low-probability (HILP) (or tail-risk) events by using a novel ICI based on decision-making mechanism for enhancing the power grid operational resilience. The proposed framework provides a portfolio of mitigation actions proportional to cascading impacts, differentiating between tail-risk events and expected (average) events typically addressed in reliability-oriented studies and current industry practices, while being tailored to both near-real-time operations and short-term operational planning. The proposed framework involves system splitting around black-start units while forming stable and self-sufficient islands, thereby enhancing reliability and resilience. Studies on the IEEE 39-bus and IEEE 118-bus systems demonstrate the effectiveness with a significant improvement in served demand across all simulated initiating events, including up to N - 6 contingencies.

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History
  • Received:December 21,2024
  • Revised:April 23,2025
  • Adopted:
  • Online: March 30,2026
  • Published:
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