A Single Ended Fuzzy Based Directional Relaying Scheme for Transmission Line Compensated by Fixed Series Capacitor

  • Praveen Kumar MishraEmail author
  • Anamika Yadav
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 941)


Protection of the series capacitor compensated transmission line (SCCTL) is a very challenging task due to the abrupt change in apparent impedance seen by the relay, voltage inversion and current inversion phenomena. This paper presents a combined discrete Fourier Transform and fuzzy system based solution to protection issues of the SCCTL. Fuzzy inference system (FIS) have been considered for detection of the existence of fault in a SCCTL and also to recognize its direction whether forward or reverse fault. The presented fuzzy based direction relaying scheme avoid the requirement of a communication link as it uses only single end measurements. The presented scheme has been corroborated for all 10 types of shunt faults that may occur in a transmission line under different fault inception angle (FIA), fault resistances (FR) and fault location (FL). Feasibility of proposed scheme is evaluated in a 735 kV; 60 Hz transmission system with midpoint series capacitor compensation using MATLAB Simulink platform. The presented technique needs current and voltage signals obtainable at one end of transmission line. The presented fuzzy-based relaying algorithm can identify the existence of fault in forward or reverse path in ≤8.87 ms time and the test results corroborate its reliability, accuracy and security.


Distance relay Voltage inversion Current inversion Fuzzy logic Series compensation 


  1. 1.
    Vyas, B., Maheshwari, R.P., Das, B.: Protection of series compensated transmission line: Issues and state of art. Electr. Power Syst. Res. 107, 93–108 (2014)CrossRefGoogle Scholar
  2. 2.
    IEEE Standard C37.116: IEEE Guide for Protective Relay Application to Transmission-Line Series Capacitor Banks (2007)Google Scholar
  3. 3.
    Elmore, W.A.: Line and circuit protection. In: Protective Relaying Theory and Applications, 2nd edn. New York, Marcel Dekker (2003)Google Scholar
  4. 4.
    Phadke, A.G.: Computer Relaying for Power Systems. Wiley, New York (1988)Google Scholar
  5. 5.
    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)CrossRefGoogle Scholar
  6. 6.
    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)CrossRefGoogle Scholar
  7. 7.
    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)CrossRefGoogle Scholar
  8. 8.
    Parikh, U.B., Das, B., Maheswari, R.P.: Fault classification technique for series compensated transmission line using support vector machine. Electr. Power Energy Syst. 32, 629–636 (2010)CrossRefGoogle Scholar
  9. 9.
    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)CrossRefGoogle Scholar
  10. 10.
    Anamika, Y., Aleena, S.: Enhancing the performance of transmission line directional relaying, fault classification and fault location schemes using fuzzy inference system. IET Gener. Trans. Distrib. 9(6), 580–591 (2015)CrossRefGoogle Scholar
  11. 11.
    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(620360), 12 (2015)Google Scholar
  12. 12.
    Pradhan, A.K., Routray, A., Pati, S., Pradhan, D.K.: Wavelet fuzzy combined approach for fault classification of a series-compensated transmission line. IEEE Trans. Power Deliv. 19(4), 1612–1618 (2004)CrossRefGoogle Scholar
  13. 13.
    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)CrossRefGoogle Scholar
  14. 14.
    Malathi, V., Marimuthu, N.S., Baskar, S., Ramar, K.: Application of extreme learning machine for series compensated transmission line protection. Eng. Appl. Artif. Intell. 24, 880–887 (2011)CrossRefGoogle Scholar
  15. 15.
    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)CrossRefGoogle Scholar
  16. 16.
    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)CrossRefGoogle Scholar
  17. 17.
    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)CrossRefGoogle Scholar
  18. 18.
    Sivov, O., Abdelsalam, H., Makram, E.: Adaptive setting of distance relay for MOV-protected series compensated line considering wind power. Electr. Power Syst. Res. 137, 142–154 (2016)CrossRefGoogle Scholar
  19. 19.
    MATLAB, Version R2013a: The MathWorks Inc., Natick, MA, USAGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Electrical and Electronics EngineeringGovernment Engineering CollegeRaipurIndia
  2. 2.Department of Electrical EngineeringNational Institute of TechnologyRaipurIndia

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