Abstract
This paper presents a non-unit protection scheme for series-compensated transmission system (SCTS) using fuzzy inference system. The proposed algorithm uses the fuzzy logic technique to analyze the presence of fault and its direction from the relaying point. In this work, only phase angle of positive sequence current is taken as an input to fuzzy-based fault direction detector (FDD). The output of the proposed scheme will be ‘−1’ for a reverse fault and ‘1’ for forward fault. The performance of proposed algorithm is evaluated on a 735 kV, 60 Hz series compensation transmission system simulated in MATLAB Simulink platform for the wide variation in fault type, fault location, fault inception angle, and system frequency. The proposed scheme is robust, irrespective of change in the location of series capacitor and heavy-load interconnection. The main advantage of the proposed scheme is that it accurately and rapidly identifies the direction of forward as well as reverse close-in faults. The obtained results demonstrate that the proposed algorithm is found to be 100% accurate in large number of fault case studies. The proposed algorithm identifies the presence of a fault in either forward (F) or reverse (R) direction in less than half or full cycle, and results confirm its reliability, accuracy, and security.
References
Vyas, B., Maheshwari, R.P., Das, B.: Protection of series compensated transmission line: issues and state of art. Electr. Power Syst. Res. 107(1), 93–108 (2014)
Jancke, G., Fahlen, N., Nerf, O.: Series capacitors in power system. IEEE Trans. PAS 94(3), 915–925 (1975)
Anderson, P.M.: Power System Protection. IEEE Press, New York (1999)
IEEE Standard C37.116.: IEEE Guide for Protective Relay Application to Transmission-Line Series Capacitor Banks (2007)
Elmore, W.A.: Line and circuit protection. In: Dekker, M. (ed.) Protective Relaying Theory and Applications 2nd edn. pp. 273–275. New York (Chap. 12) (2003)
Phadke, A.G.: Computer Relaying for Power Systems. Wiley, New York (1988)
Qi, X., Wen, M., Yin, X., Zhang, Z., Tang, J., Cai, F.: A novel fast distance relay for series compensated transmission lines. Int. J. Electr. Power Energy Syst. 64, 1–8 (2015)
Hashemi, S.M., Hagh, M.T., Seyedi, H.: High-speed relaying scheme for protection of transmission lines in the presence of thyristor-controlled series capacitor. IET Gener. Transm. Distrib. 8(12), 2083–2091 (2014)
Kumari, A., Yadav, A.: ANN based fault detection in series-compensated transmission lines. In: International Conference on Magnetics, Machines & Drives (AICERA-2014 iCMMD). Amal Jyothi College of Engineering, 24–26 July 2014, Kottayam, Kerala, India
Verma, A., Yadav, A.: ANN based fault detection & direction estimation scheme for series compensated transmission lines. In: 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (IEEE ICECCT 2015), Paper ID EE 9037. 05–07, Mar 2015. SVS College of Engineering, Coimbatore, Tamil Nadu, India
Dash, P.K., Pradhan, A.K., Panda, G.: A novel fuzzy neural network based distance relaying scheme. IEEE Trans. Power Deliv. 15(3), 902–907 (2000)
Dash, P.K., Samantaray, S.R., Panda, G.: Fault classification and section identification of an advanced series-compensated transmission line using support vector machine. IEEE Trans. Power Deliv. 22, 67–73 (2007)
Parikh, U.B., Das, B., Maheswari, R.P.: Combined wavelet-SVM technique for fault zone detection in a series compensated transmission line. IEEE Trans. Power Deliv. 23, 1789–1794 (2008)
Yadav, A., Swetapadma, A.: Enhancing the performance of transmission line directional relaying, fault classification and fault location schemes using fuzzy inference system. IET Gener. Transm. Distrib. 9(6), 580–591 (2015)
Swetapadma, A., Yadav, A.: Fuzzy inference system approach for locating series, shunt, and simultaneous series-shunt faults in double circuit transmission lines. Comput. Intell. Neurosci. (2015). doi:https://doi.org/10.1155/2015/620360
Pradhan, A.K., Routray, A., Biswal, B.: Higher order statistics-fuzzy integrated scheme for fault classification of a series-compensated transmission line. IEEE Trans. Power Deliv. 19(2), 891–893 (2004)
Samantaray, S.R., Dash, P.K.: Pattern recognition based digital relaying for advanced series compensated line. Int. J. Electr. Power Energy Syst. 30, 102–112 (2008)
Saha, M.M., Rosolowski, E., Izykowski, J., Pierz, P.: Evaluation of relaying impedance algorithms for series-compensated line. Electr. Power Syst. Res. 138, 106–112 (2016)
Nayak, P.K., Pradhan, A.K.: A fault detection technique for the series-compensated line during power swing. IEEE Trans. Power Deliv. 28(2), 714–722 (2013)
Jena, M.K., Samantaray, S.R.: Intelligent relaying scheme for series-compensated double circuit lines using phase angle of differential impedance. Int. J. Electr. Power Energy Syst. 70, 17–26 (2015)
Deihimi, A., Solat, A.: Optimized echo state networks using big bang-big crunch algorithm for distance protection of series-compensated transmission lines. Int. J. Electr. Power Energy Syst. 54, 408–424 (2014)
Vyas, B., Maheshwari, R.P., Das, B.: Protection of series compensated transmission line: issues and state of art. Electr. Power Syst. Res. 107(1), 93–108 (2014)
Qi, X., Wen, M., Yin, X., Zhang, Z., Tang, J., Cai, F.: A novel fast distance relay for series compensated transmission lines. Int. J. Electr. Power Energy Syst. 64, 1–8 (2015)
MATLAB, Version R2013a. The MathWorks Inc., Natick, MA, USA
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mishra, P.K., Yadav, A. (2018). A Non-unit Protection Scheme for Series-Compensated Transmission System Using Fuzzy Inference System. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Computing and Informatics . Smart Innovation, Systems and Technologies, vol 77. Springer, Singapore. https://doi.org/10.1007/978-981-10-5544-7_44
Download citation
DOI: https://doi.org/10.1007/978-981-10-5544-7_44
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5543-0
Online ISBN: 978-981-10-5544-7
eBook Packages: EngineeringEngineering (R0)