A Quantitative Approach to Improving Operational Resilience in Distribution Networks through Risk Analysis and Smart Grid Techniques

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Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorKheirkhah, Ali Reza-
Autor(es): dc.creatorAlmeida, Carlos Frederico Meschini-
Autor(es): dc.creatorKagan, Nelson-
Autor(es): dc.creatorJohari, Farangis-
Autor(es): dc.creatorLeite, Jonatas Boas-
Data de aceite: dc.date.accessioned2025-08-21T20:21:51Z-
Data de disponibilização: dc.date.available2025-08-21T20:21:51Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/SEGE59172.2023.10274572-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/308008-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/308008-
Descrição: dc.descriptionThis paper presents a novel risk-based analysis framework designed to enhance the resilience of power distribution networks by leveraging a failure probability metric for assessing interruption likelihood. To simulate failure scenarios, Monte Carlo simulation is employed in conjunction with a decision tree approach. Additionally, the framework incorporates the calculation of the cost of energy not supplied. The effectiveness of two smart grid techniques - automatic fault location, isolation, and service restoration, along with demand side management - are evaluated within this framework. By implementing these techniques, the operational resilience of the distribution network can be substantially improved. Empirical validation using a modified IEEE 136-bus test system demonstrates the efficacy of the proposed framework in aiding distribution network operators in making informed investment decisions geared towards enhancing system resilience, with a strong emphasis on risk mitigation. Adopting this risk-based analysis framework enables operators to proactively identify vulnerable areas within the network and implement appropriate measures to mitigate potential disruptions. Ultimately, this approach leads to a more resilient and dependable power distribution infrastructure.-
Descrição: dc.descriptionUniversity of São Paulo - USP Dept. of Energy Engineering and Electrical Automation, SP-
Descrição: dc.descriptionInstitute of Mathematics and Statistics University of São Paulo - USP, SP-
Descrição: dc.descriptionSao Paulo State University - UNESP Dept. of Electrical Engineering, SP-
Descrição: dc.descriptionSao Paulo State University - UNESP Dept. of Electrical Engineering, SP-
Formato: dc.format70-74-
Idioma: dc.languageen-
Relação: dc.relation2023 IEEE 11th International Conference on Smart Energy Grid Engineering, SEGE 2023-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjecteconomic networks-
Palavras-chave: dc.subjectoperational resilience metrics-
Palavras-chave: dc.subjectpower distribution system-
Palavras-chave: dc.subjectrisk analysis-
Título: dc.titleA Quantitative Approach to Improving Operational Resilience in Distribution Networks through Risk Analysis and Smart Grid Techniques-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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