Abstract
Power system faults are unwelcome events which pose a safety, technical and social hazard. Power system operators are under increasing pressure from customers and regulators to maintain high levels of power system reliability. Appropriate fault identification and classifications is a crucial part of power system operation and management. This paper proposes a method for identification and classification of faults in 10 kV isolated distribution network. The proposed method uses three line voltages, available at the substation as input variable and returns the fault code as the output variable for all ten shunt fault types, as the output variable. Classification is based on the fuzzy system with three input variables and one output variable. Results show that proposed system can detect low resistance faults with 100% accuracy for all then shunt fault types that can occur in electric power distribution network. The input data (voltage waveforms) are generated in simulations performed on a model of realistic distribution system in Bosnia and Herzegovina.
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References
Mor, V., Vaghamshi, A.: Review on fault detection, identification and localization in elektrical networks using fuzzy-logic. Int. J. Appl. Res. Sci. Eng. (2016)
Chen, K., Huang, C., He, J.: Fault detection, classification and location for transmission lines and distribution systems: a review on the methods. High Volt. 1(1), 25–33 (1997)
Ćućić, R., Komen, V., Živić-Đurović, M.: Neutral point concept in distribution network. Eng. Rev. 28(2), 77–89 (2008). Available at www.hrcak.srce.hr/file/48475. Accessed 15 Jan 2017
Das, B.: Fuzzy logic-based fault-type identification in unbalanced radial power distribution system. IEEE Trans. Power Deliv. 21(1), 278–285 (2006)
Ross, T.J.: Fuzzy logic with engineering applications, 2nd edn, p. 2004. Wiley, England (2004)
Bojadziev, G., Bojadziev, M.: Fuzzy logic for business, finance and management. In: Advances in Fuzzy Systems: Applications and Theory, vol. 23 (2007)
Tomosovic, K., Chow, M.Y.: Tutorial on Fuzzy Logic Applications in Power Systems. IEEE-PES Winter Meeting, Singapore (2000)
Adhikari, S., Sinha, N., Dorendrajit, T.: Fuzzy logic based on-line fault detection and classification in transmission line (2016). Available at: http://link.springer.com/article/10.1186/s40064-016-2669-4 Accessed 15 Feb 2017
Frank P.M., Seliger B.K.: Fuzzy logic and neural network applications to fault diagnosis. Int. J. Approximate Reasoning (1997)
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Šarić, M., Hubana, T., Begić, E. (2018). Fuzzy Logic Based Approach for Faults Identification and Classification in Medium Voltage Isolated Distribution Network. In: Hadžikadić, M., Avdaković, S. (eds) Advanced Technologies, Systems, and Applications II. IAT 2017. Lecture Notes in Networks and Systems, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-71321-2_4
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DOI: https://doi.org/10.1007/978-3-319-71321-2_4
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