Optimal hybrid backup systems for substation auxiliary services during outages through stochastic programming

Autor(es)

Holzbach, Matheus ; Martinez, Norberto Abrante ; Faria, Lucas Teles ; Tabares, Alejandra ; Resende, John F. ; Franco, John F.

• Tipo de documento: Artigo Científico
• Fonte: Electric Power Systems Research; v. 239, p. 11-pg., 2025-02-01.

Resumo

Auxiliary services are fundamental to ensure the uninterrupted operation, control, and surveillance of critical infrastructure. Traditional dependency on diesel generators as backup power sources during service disruptions is increasingly challenged by their non-renewable nature, operational costs, and environmental impacts. Addressing these concerns, this paper introduces a novel stochastic programming method for the optimal design of a hybrid backup system (HBS), integrating photovoltaic (PV) panels, battery storage, and bidirectional inverters, specifically tailored for substation auxiliary services (SAS). The proposed model represents the uncertainties associated with solar irradiance and power outages (occurrence and duration) through a scenariobased analysis, ensuring a required level of robustness. The proposed model is applied to a case study and a sensitivity analysis of the most important parameters was executed. It was identified that the optimal investment corresponds to an HBS formed by 6 batteries and 22 PV panels (18 kWh/8.58 kWp), providing a robustness level of 99.526 %, which reduces the unavailable hours of the SAS by 61 %. The findings underscore the pivotal contribution of battery systems to support SAS under outages, facilitating the attainment of requisite reliability thresholds. Nonetheless, achieving higher levels of robustness is intrinsically linked to increased financial investment in the backup system infrastructure. (AU)

• Processo FAPESP: 21/06251-1 - Desenvolvimento de um modelo de programação matemática para a alocação ótima de baterias no sistema de distribuição de energia elétrica baseado em técnicas de análise espaço-temporal
• Beneficiário: Norberto Abrante Martinez
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 22/03161-4 - Novas abordagens baseadas em otimização para o planejamento da expansão e operação de sistemas de distribuição de energia elétrica com mercados elétricos locais
• Beneficiário: John Fredy Franco Baquero
• Modalidade de apoio: Auxílio à Pesquisa - Projeto Inicial
• Processo FAPESP: 18/20990-9 - Novos modelos de otimização aplicados ao problema de planejamento de sistemas de distribuição no contexto de redes ativas
• Beneficiário: Alejandra Tabares Pozos
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado