MACHINE LEARNING-BASED IDENTIFICATION AND MITIGATION OF VULNERABILITIES IN DISTRIBUTION SYSTEMS AGAINST NATURAL HAZARDS

Balaji V. Venkatasubramanian, Mohamed Lotfi, Pierluigi Mancarella, André Águas, Mohammad Javadi, Leonel Carvalho, Clara Gouveia, Mathaios Panteli

Resultado de pesquisarevisão de pares

2 Citações (Scopus)

Resumo

Distribution networks are vulnerable to natural hazards which can cause major social and economic consequences. Identifying vulnerable areas and developing operational strategies, such as dispatching mobile energy systems, can help mitigate the effects of extreme events. Conventional approaches, mainly N-1/N-2 contingency security analysis, are efficient but they do not fully provide a comprehensive picture of the stochastic nature of the hazard impact. Stochastic approaches are more accurate but in general they are computationally expensive and hence not practical for the resilient operational decision-making of distribution system operators. Therefore, this paper develops a novel framework based on an adjacency-resource matrix (ARM) and an unsupervised machine learning algorithm to first identify vulnerable nodes. Next, these vulnerable nodes are utilized in the mitigation stage in order to minimize the expected energy not served (EENS) against a natural hazard. The efficiency of the proposed framework is tested on a 125-node Portuguese distribution system.

Idioma originalInglês
Título da publicação do anfitrião27th International Conference on Electricity Distribution, CIRED 2023
EditoraInstitution of Engineering and Technology
Páginas2908-2912
Número de páginas5
ISBN (eletrónico)9781839538551, 9781839538650, 9781839539022, 9781839539091, 9781839539107, 9781839539176, 9781839539220, 9781839539237, 9781839539305, 9781839539312, 9781839539329, 9781839539350, 9781839539367, 9781839539497, 9781839539503, 9781839539572, 9781839539596
DOIs
Estado da publicaçãoPublicadas - 2023
Publicado externamenteSim
Evento27th International Conference on Electricity Distribution, CIRED 2023 - Rome
Duração: 12 jun. 202315 jun. 2023

Conferência

Conferência27th International Conference on Electricity Distribution, CIRED 2023
País/TerritórioItaly
CidadeRome
Período12/06/2315/06/23

Nota bibliográfica

Publisher Copyright:
© The Institution of Engineering and Technology 2023.

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