FAULT DETECTION AND CLASSIFICATION IN POWER DISTRIBUTION NETWORK CONNECTED IN PV GENERATOR USING FUZZY LOGIC WITH ONLINE PARAMETRIC IDENTIFICATION
DOI:
https://doi.org/10.59627/cbens.2022.1162Keywords:
Fault detection, Photovoltaic generation, Fuzzy classifierAbstract
Currently, energy is seen as an essential product, which is quantified through its characteristics, such as quality, price and accessibility. To this end, research involving power quality and in particular the fault detection in the power grid and especially in the presence of distributed generation, has become more intensive for mapping and correcting its operation. In this view this work presents a novel study of a method for detecting short-circuit faults in electricity distribution networks with the presence of renewable distributed generation sources via converters such as solar photovoltaic. The methodology for fault detection and classification proposed in this work is based on the analysis of parametric ARX (autoregressive with external inputs) models obtained by online parametric estimation via recursive least squares. Additionally, a classification system based on fuzzy logic, in view of the continuous change of these parameters values, classifies short-circuit faults in terms of their severity between line to ground fault, line to line fault, three-phase fault and line two line to ground fault. In order to verify the effectiveness of this proposed methodology, exhaustive tests were carried out in computer simulation applied to a typical electrical distribution network of 3 buses, two feeders and a 250 kW photovoltaic (PV) generator. Finally, the results obtained proved the effectiveness of the proposed method, being a fuzzy classification system that was designed capable of proper determining percentage for classification of the detected fault in terms of its severity.
Downloads
References
Anzanello Junior, J. D. “Análise de microgeração fotovoltaica em um sistema de distribuição utilizando o opendss”. Universidade Federal do Rio Grande do Sul. 2016
Ferreira, A. C. Modelagem e Controle da Operação de Sistemas Fotovoltaicos Conectados à Rede de Distribuição, Utilizando o Ambiente Matlab/Simulink. Instituto Federal de Educação, Ciência e Tecnologia do Pará – IFPA. Trabalho de Conclusão de Curso. 2014
Aguirre, L. A. Introdução à Identificação de Sistemas – Técnicas Lineares e Não Lineares Aplicadas a Sistemas Reais. Belo Horizonte Editora UFMG, 2007.
Anderson, P. M. Analysis of faulted power systems. New York: University Press, 1973. 514 p. (IEEE Press power system engineering series).
Soni, A. K., Yadav, A. Fault Detection and Classification of Grid Connected Wind Farm (DFIG) Using Fuzzy Logic Controller. 2021 IEEE International Power and Renewable Energy Conference (IPRECON). 24-26 Sept. 2021. 10.1109/IPRECON52453.2021.9640808
Coelho, A. A. R.; Coelho, L. S. Identificação de Sistemas Dinâmicos Lineares. Florianópolis: UFSC, 2004.
Dos Santos, V. M. Estudo de caso de curto-circuito em um Sistema elétrico industrial. Universidade de São Paulo, São Carlos. 2009.
Ferreira, A. C. Modelagem e Controle da Operação de Sistemas Fotovoltaicos Conectados à Rede de Distribuição, Utilizando o Ambiente Matlab/Simulink. Instituto Federal de Educação, Ciência e Tecnologia do Pará – IFPA. Trabalho de Conclusão de Curso. 2014.
Haber, R. Unbehauen, H. Structure identification of nonlinear dynamic systems - a survey on input/output approaches, Automatica 26: 651–677. 1990.
Horan, D. M. Guinee, R. A. A Novel Pulse Echo Correlation Tool for Transmission Path Testing and Fault Diagnosis. Journal of Computers. Vol. 1. No. 1. 2006.
Horowitz, P. HILL, W. The Art of Eletronics.Cambridge University Press, New York, 2ª Edition. 1989.
Isermann, R. Fault-Diagnosis Systems-An Introduction form Fault Detection to Fault Tolerance. New York, NY, USA: -Springer-Verlag Berlin Heidelberg, 2006. Págs. 147- 228. 66.
Kindermann, G. Curto-Circuito. 2. ed. Porto Alegre: Sagra Luzzatto, 1997. 214 p.
Ljung, L. System Identification: Theory for the User, Prentice-Hall, Upper Saddle River. NJ. 1999.
Stevenson Jr. W.D.. Elementos de Análise de Sistemas de Potência. Mcgraw Hill. 1974.
Simoes, M. G. ; SHAW, I.S. Controle e Modelagem Fuzzy. 2ª edição. Editora Blucher.2007.
Martinho, E. Distúrbios da Energia elétrica. Ed. Erica. 3ª edição. 2013.
Yazadani, a.; Iravani, r. . Voltage Sourced Converteers in Power systems. Wiley. 2010.
Wang, L. X.,. A Course in Fuzzy Systems and Control. Prentice Hall PTR, United States, 1997.
