An innovative real-time recursive framework for techno-economical self-healing in large power microgrids against cyber–physical attacks using large change sensitivity analysis

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dc.authoridhttps://orcid.org/0000-0002-8672-4178
dc.authoridhttps://orcid.org/0000-0003-2334-7819
dc.contributor.authorJahromi, Mehdi Zareian
dc.contributor.authorYaghoubi, Elnaz
dc.contributor.authorYaghoubi, Elaheh
dc.contributor.authorMaghami, Mohammad Reza
dc.date.accessioned2025-03-07T07:06:26Z
dc.date.available2025-03-07T07:06:26Z
dc.date.issued2025-01-04
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description.abstractIn the past, providing an online and real-time response to cyber–physical attacks in large-scale power microgrids was considered a fundamental challenge by operators and managers of power distribution networks. To address this issue, an innovative framework is proposed in this paper, enabling real-time responsiveness to cyberattacks while focusing on the techno-economic energy management of large-scale power microgrids. This framework leverages the large change sensitivity (LCS) method to receive immediate updates to the system’s optimal state under disturbances, eliminating the need for the full recalculation of power flow equations. This significantly reduces computational complexity and enhances real-time adaptability compared to traditional approaches. Additionally, this framework optimizes operational points, including resource generation and network reconfiguration, by simultaneously considering technical, economic, and reliability parameters—a comprehensive integration often overlooked in recent studies. Performance evaluation on large-scale systems, such as IEEE 33-bus, 69-bus, and 118-bus networks, demonstrates that the proposed method achieves optimization in less than 2 s, ensuring superior computational efficiency, scalability, and resilience. The results highlight significant improvements over state-of-the-art methods, establishing the proposed framework as a robust solution for real-time, cost-effective, and resilient energy management in large-scale power microgrids under cyber–physical disturbances.
dc.identifier10.3390/en18010190
dc.identifier.citationJahromi, M. Z., Yaghoubi, E., Yaghoubi, E., Maghami, M. R., & Chamorro, H. R. (2025). An Innovative Real-Time Recursive Framework for Techno-Economical Self-Healing in Large Power Microgrids Against Cyber–Physical Attacks Using Large Change Sensitivity Analysis. Energies, 18(1), 190. https://doi.org/10.3390/en18010190
dc.identifier.doi10.3390/en18010190
dc.identifier.issn1996-1073
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85214506106
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.3390/en18010190
dc.identifier.urihttps://hdl.handle.net/20.500.14619/15126
dc.identifier.volume18
dc.identifier.wosWOS:001393589100001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofEnergies
dc.relation.ispartofseriesEnergies
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Öğrenci
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectcyber–physical attacks
dc.subjectlarge change sensitivity analysis
dc.subjectlarge power microgrids
dc.subjectreal-time self-healing
dc.titleAn innovative real-time recursive framework for techno-economical self-healing in large power microgrids against cyber–physical attacks using large change sensitivity analysis
dc.typeJournal
oaire.citation.issue1
oaire.citation.volume18

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