Enhanced Distributed Self-Healing System for Electrical Distribution Networks Using ADMM

Autor(es)

Lopez, Juan CamiIo ; Gcrards, Marco E. T. ; Hurink, Johann L. ; Rider, Marcos J.

• Tipo de documento: Artigo Científico
• Fonte: 2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM; v. N/A, p. 5-pg., 2023-01-01.

Resumo

Unlike centralized versions, a distributed self-healing system (SHS) for electrical distributed systems is less vulnerable to single-point failures (or attacks), requires less information from the agents, and is more scalable. However, optimality is challenging to achieve because binary variables are used in the modelling of the distributed service restoration problem. To deal with this challenge, this paper proposes an enhanced alternating direction method of multipliers (ADMM)-based algorithm used to developed a fully distributed SHS in electrical distribution networks. Hereby, three ADMM-based heuristics are executed in parallel to improve the chances of obtaining a feasible solution. However, if none of the heuristics converge within given reasonable time, the proposed distributed SHS uses a basic restoration plan that is feasible in terms of topology and operational constraints. Results using the IEEE 123-node system show that the proposed distributed SHS is reliable and it always provides a feasible solution. (AU)

• Processo FAPESP: 21/11380-5 - CPTEn - Centro Paulista de Estudos da Transição Energética
• Beneficiário: Luiz Carlos Pereira da Silva
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Ciência para o Desenvolvimento
• Processo FAPESP: 19/01906-0 - Restauração ótima distribuída de sistema de distribuição de energia elétrica utilizando o algoritmo da direção alternada de multiplicadores de Lagrange
• Beneficiário: Juan Camilo Lopez Amezquita
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 21/11310-7 - Aplicação de técnicas heurísticas para o tratamento de variáveis binárias no problema de restauração ótima
• Beneficiário: Juan Camilo Lopez Amezquita
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado