Abstract
The paper presents the hardware realization of detection and classification of fault in the π-model based 360 km transmission line by using Programmable Automation and Control (PAC) technology based real time SCADA system. The power system is monitored by means of National Instrument Compact Reconfigurable I/O (CRIO) devices and Labview software is used to interface the CRIO devices with computer. When any fault is experienced by the system, the waveforms of voltage and current are distorted due to transients and their change of patterns depends on the type of fault. The current signals (3-phase alternating current, zero and positive sequence currents) are processed directly for relaying and those signals are acquired during fault. Extensive studies have been carried out to verify and validate the proposed methodology. The protection of power system with digital technology and fuzzy logic approach can be achieved very fast and the system becomes highly reliable, and secure.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dalstein, T., Kuliche, B.: Neural network approach to fault classification for high speed protective relaying. IEEE Trans. Power Deliv. 10, 1002–1011 (1995)
Osman, A.H., Abdelazim, T., Malik, O.P.: Transmission line distance relaying using on line trained neural networks. IEEE Trans. Power Deliv. 20, 1257–1264 (2005)
Mahanty, R.N., Dutta, G.P.B.: Application of RBF neural network to fault classification and location in transmission lines. IEEE Proc. Gener. Trans. Distrib. 151, 201–212 (2004)
Youssef, O.A.S.: A modified wavelet-based fault classification technique. Electric. Power Syst. Res. 64, 165–172 (2003)
Chanda, D., Kishore, N.K., Sinha, A.K.: Application of wavelet multi-resolution analysis for identification and classification of faults on transmission lines. Electric Power Syst. Res. 73, 323–333 (2005)
Liang, J., Elangovan, S., Devotta, J.B.X.: A wavelet multiresolution analysis approach to fault detection and classification in transmission lines. Int. J. Electric Power Energy Syst. 20, 327–332 (1998)
Zhao, W., Song, Y.H., Min, Y.: Wavelet analysis based scheme for fault detection and classification in underground power cable systems. Electric Power Syst. Res. 53, 23–30 (2000)
Huseyin, E.: Fault diagnosis system for series compensated transmission line based on wavelet transform and adaptive neuro-fuzzy inference system. Measurement 46, 393–401 (2013)
Thai, N., Yuan, L.: Transmission line fault type classification based on novel features and neuro-fuzzy system. Electric Power Comput. Syst. 38, 695–709 (2010)
Mahanty, R.N., Dutta, G.P.B.: A fuzzy logic based fault classification approach using current samples only. Electric Power Syst. Res. 77, 501–507 (2007)
Ferrero, A., Sangiovanni, S., Zapitelli, E.: A fuzzy set approach to fault type identification in digital relaying. IEEE Trans. Power Deliv. 10, 169–175 (1995)
Wang, H., Keerthipala, W.W.L.: Fuzzy neuro approach to fault classification for transmission line protection. IEEE Trans. Power Deliv. 13, 1093–1104 (1998)
Dash, P.K., Pradhan, A.K., Panda, G.: A novel fuzzy neural network based distance relaying scheme. IEEE Trans. Power Deliv. 15, 902–907 (2000)
Yeo, S.M., Kim, C.H., Hong, K.S., Lim, Y.B., Aggarwal, R.K., Johns, A.T., Choi, M.S.: A novel algorithm for fault classification in transmission lines using a combined adaptive network and fuzzy inference system. Electric. Power Energy Syst. 25, 747–758 (2003)
Vasilic, S., Kezunovic, M.: Fuzzy ART neural network algorithm for classifying the power system faults. IEEE Trans. Power Deliv. 20, 1306–1314 (2005)
Das, B., Reddy, J.V.: Fuzzy-logic-based fault classification scheme for digital distance protection. IEEE Trans. Power Deliv. 20, 609–616 (2005)
Yadav, A., Swetapadma, A.: Enhancing the performance of transmission line directional relaying, fault classification and fault location schemes using fuzzy inference system. IET Gener. Trans. Distrib. 9, 580–591 (2015)
Adhikari, S., Sinha, N., Thingam, D.: Fuzzy logic based on-line fault detection and classification in transmission line. Springerplus 5, 1–14 (2016)
Susilo, L., Gu, J.C., Huang, S.K.: Fault current characterization based on fuzzy algorithm for DOCR application. Energy Power Eng. 5, 932–936 (2013)
Mendal, J.M.: Fuzzy logic systems for engineering: a tutorial. Proc. IEEE 83, 345–377 (1995)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Adhikari, S., Datta, S., Sinha, N., Roy, B. (2020). Detection and Classification of Fault in Transmission Line Using PAC Technology Based Real Time SCADA System. In: Dawn, S., Balas, V., Esposito, A., Gope, S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_37
Download citation
DOI: https://doi.org/10.1007/978-3-030-42363-6_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-42362-9
Online ISBN: 978-3-030-42363-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)