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

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Author(s):
Holzbach, Matheus ; Martinez, Norberto Abrante ; Faria, Lucas Teles ; Tabares, Alejandra ; Resende, John F. ; Franco, John F.
Total Authors: 6
Document type: Journal article
Source: Electric Power Systems Research; v. 239, p. 11-pg., 2025-02-01.
Abstract

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)

FAPESP's process: 21/06251-1 - Development of a mathematical programming model for the optimal allocation of batteries in electrical distribution systems based on spatial and temporal analysis techniques
Grantee:Norberto Abrante Martinez
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 22/03161-4 - Novel optimization-based paradigm for the expansion and operational planning of electrical distribution systems with local electricity markets
Grantee:John Fredy Franco Baquero
Support Opportunities: Research Grants - Initial Project
FAPESP's process: 18/20990-9 - New optimization models to solve the distribution system planning problem in the context of active networks
Grantee:Alejandra Tabares Pozos
Support Opportunities: Scholarships in Brazil - Post-Doctoral