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

Author(s)

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

• Document type: Journal article
• Source: IEEE CONFERENCE ON EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS 2024, IEEE EAIS 2024; v. N/A, p. 8-pg., 2024-01-01.

Abstract

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)

• FAPESP's process: 23/07634-7 - Using probabilistic networks to allocate resources in a power distribution system
• Grantee: Henrique de Oliveira Caetano
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate (Direct)
• FAPESP's process: 21/12220-1 - Resilience analysis of distribution systems using probabilistic networks
• Grantee: Henrique de Oliveira Caetano
• Support Opportunities: Scholarships in Brazil - Doctorate (Direct)