Intelligent Resource Allocation in Power Grids: Leveraging Variable Neighborhood Search for Optimal Switch Allocation

Autor(es)

Caetano, Henrique O. ; Fogliatto, Matheus de S. S. ; Desuo, N. Luiz ; Pereira, J. Benvindo R. ; Maciel, Carlos D. ; Aiello, Marco

• Tipo de documento: Artigo Científico
• Fonte: IEEE CONFERENCE ON EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS 2024, IEEE EAIS 2024; v. N/A, p. 8-pg., 2024-01-01.

Resumo

Within the paradigm of Evolving and Adaptive Intelligent Systems, the Electrical Power System (EPS) represents a Critical Infrastructure demanding robust reliability metrics. This study pioneers the application of Variable Neighborhood Search (VNS) heuristic to the Optimal Switch Allocation (OSA) problem in the EPS. Adapting neighborhood structures and local search methods, we consider the joint allocation of Manual Switches and Remote-Controlled switches, addressing interdependencies. Results highlight VNS efficacy in navigating OSA challenges, showcasing its adaptability in an evolving system. Comparative analyses endorse VNS as a valuable tool for addressing EPS reliability within the dynamic landscape of evolving and adaptive intelligent systems. (AU)

• Processo FAPESP: 23/07634-7 - Usando redes probabilísticas para alocar recursos em um sistema de distribuição de energia
• Beneficiário: Henrique de Oliveira Caetano
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado Direto
• Processo FAPESP: 21/12220-1 - Análise da resiliência de sistemas de distribuição utilizando redes probabilísticas
• Beneficiário: Henrique de Oliveira Caetano
• Modalidade de apoio: Bolsas no Brasil - Doutorado Direto