Application of Monte Carlo Simulation in the Analysis of the Impacts of Distributed Generation on a Radial Feeder
Abstract
This work presents a case study concerning the operation of a distribution feeder with associated distributed generation, with the objective of discussing the importance of probabilistic modeling in the analysis of power systems with distributed generation. The impact over voltage profile is analyzed probabilistically by means of the Monte Carlo method, with multiple scenarios of feeder length and loading being considered. The results reinforce the fact that, even for simple systems, the stochastic character of distributed generation may not be ignored without incurrence in severe modeling errors.References
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ANEEL. ’Geração distribuı́da ultrapassa 20 mil conexões’ (2018). Assesoria de Imprensa da Agência Nacional de Energia Elétrica.
ANEEL. Resolução Normativa no 482 de 2012. Agência Nacional de Energia Elétrica. CanadianSolar. Datasheet do módulo CS6P-260/265/270P. CanadianSolar.
Daly, P. A. and Morrison, J. (2001). Understanding the potential benefits of distributed generation on power delivery systems. In 2001 Rural Electric Power Conference. Papers Presented at the 45th Annual Conference (Cat. No.01CH37214), pages A2/1–A213.
Gomez, J. C., Vaschetti, J., Coyos, C., and Ibarlucea, C. (2013). Distributed generation: impact on protections and power quality. IEEE Latin America Transactions, 11(1):460–465.
Kim, Y. (2018). Development and analysis of a sensitivity matrix of a three-phase voltage unbalance factor. IEEE Transactions on Power Systems, 33(3):3192–3195.
Liu, Z. and Milanovic, J. V. (2015). Probabilistic estimation of voltage unbalance in mv distribution networks with unbalanced load. IEEE Transactions on Power Delivery, 30(2):693–703.
Robert, C. and Casella, G. (2010). Introducing Monte Carlo Methods with R. Springer. Yan, R. and Saha, T. K. (2013). Investigation of voltage imbalance due to distribution network unbalanced line configurations and load levels. IEEE Transactions on Power Systems, 28(2):1829–1838.
Published
2020-11-11
How to Cite
CORRÊA, Henrique; VIEIRA, Flávio; DE CASTRO, Marcelo.
Application of Monte Carlo Simulation in the Analysis of the Impacts of Distributed Generation on a Radial Feeder. In: REGIONAL SCHOOL ON INFORMATICS OF GOIÁS (ERI-GO), 8. , 2020, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 161-170.
DOI: https://doi.org/10.5753/erigo.2020.13870.
