Fluxo de Potência Trifásico Probabilístico utilizando o OpenDSS e a Transformação Unscented para Sistemas de Distribuição com Geração Distribuída Fotovoltaica e Controle Volt/Var

Authors

  • Igor de Sousa Ferreira Programa de Pós-Graduação em Engenharia Elétrica (PPGEL), Universidade Federal de São João del-Rei (UFSJ)
  • Wesley Peres Programa de Pós-Graduação em Engenharia Elétrica (PPGEL), Universidade Federal de São João del-Rei (UFSJ)
  • Eduardo Moreira Vicente Programa de Pós-Graduação em Engenharia Elétrica (PPGEL), Universidade Federal de São João del-Rei (UFSJ)
  • Lane M. Rabelo Programa de Pós-Graduação em Engenharia Elétrica (PPGEL), Universidade Federal de São João del-Rei (UFSJ)

DOI:

https://doi.org/10.20906/SBAI-SBSE-2023/3886

Keywords:

probabilistic power flow, distribution systems, photovoltaic distributed generation, Volt/Var control, Unscented Transformation, Monte Carlo Simulation, uncertainties

Abstract

This work presents a Probabilistic Three-Phase Power Flow based on the Unscented Transformation and the OpenDSS software's use, considering the loads' uncertainty. The application of the Unscented Transformation allows for a reduction in the number of samples of uncertain variables. OpenDSS, a free software, provides greater flexibility in modeling the unbalanced distribution network. The developed tool is used to evaluate the effect of inverters Volt/Var control, which connects photovoltaic systems to distribution systems. The results obtained for a 13-bus system are compared with those provided by the Monte Carlo Simulation, allowing for a significant reduction in computational effort while maintaining the accuracy of the estimated statistical variables.

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Published

2023-10-18

Issue

Vol. 1 No. 2 (2023): Proceedings SBAI2023 e SBSE2023

Section

Articles