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Ferramenta Computacional para Modelagem e Validação Automática de RDBTs da BDGD para Estudos Estáticos e Temporais em Sistemas Elétricos de Potência

REZENDE, GABRIEL; SOUSA, KAMILA DE; SILVA, LUIZ EDUARDO SALES E; MEDEIROS, RENAN; BESSA, IURY

2026 • XVII Simpósio Brasileiro de Automação Inteligente (SBAI 2025) e XI Simpósio Brasileiro de Sistemas Elétricos (SBSE 2025)

Resumo

Resumo

Aiming to monitor the impacts on the operation and control of the Power System (PS) due to new technologies in Distributed Generation (DG) and electromobility, modeling Low Voltage Distribution Networks (LVDNs) using the Geographic Database of the Distributor (GDD) presents computational challenges due to the large amount of data provided, making manual modeling difficult. In this context, the automation of LVDN modeling is proposed using open-source code, such as Python and OpenDSS. Furthermore, the proposed methodology automatically validates the integrity of the networks through routines for voltage, current, and energy consumption, including power losses. The tests of the proposed tool include the modeling and validation of 91 out of 96 electrical network samples from the Amazonas Energia utility in the city of Manaus, due to cadastral issues in the GDD. The results obtained demonstrate a fast modeling process and rejection rates of LVDNs of 15.625% for voltage tests, 12.5% for current, and 14.5% for energy consumption.

Autoria

Autores do grupo (3)

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palavras-chave

Palavras-chave

low-voltage distribution networksOpenDSSpower system modelingnetwork validationpower lossesdistributed generationelectric mobilityManaus

Status

Published

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Trabalho em anais de evento