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Single-Phase Fault Location in Four-Circuit Transmission Lines Based on Wavelet Analysis Using ANFIS

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Abstract

This paper presents an efficient and effective method to determine the location of the single phase to ground fault in four-circuit transmission lines. In the proposed method, wavelet analysis based on advanced signal processing techniques are used to extract important features and record the dynamic characteristics of the fault signal using current sampled data of one side of the line. In this regard, the ANFIS network is used to find the relationship between the obtained characteristics from wavelet signal analysis of the fault signal and the changes in different fault conditions. In proposed method, there is no need to know the type of the fault or line information. Also, determination of faulty circuit and the use of intelligent methods to reduce computations are among the advantages of the proposed method. Studies and simulations have been implemented on a four-circuit transmission line of 500 kV and 200 km in PSCAD software. The results of wavelet analysis have been applied as an input of ANFIS network in MATLAB software. The results of the simulations are based on the implementation of different fault conditions, including the faulty circuit, fault location, fault inception, and fault resistance. These results indicate the high accuracy of the proposed method.

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References

  1. Fan C, Liu L, Tian Y (2011) A fault-location method for 12-phase transmission lines based on twelve-sequence-component. IEEE Trans Power Deliv 26(1):135–142

    Article  Google Scholar 

  2. Saha M, Izykowski J, Rosolowski E (2010) Power systems-fault location on power networks, 1st edn. Springer-Verlag, Berlin

    Book  Google Scholar 

  3. Ezquerra J, Valverde V, Mazon AJ, Zamora I, Zamora JJ (2011) Field programmable gate array implementation of a fault location system in transmission lines based on artificial neural networks. IET Gener Transm Distrib 5(2):191–198

    Article  Google Scholar 

  4. Sadeh J, Afradi H (2009) A new and accurate fault location algorithm for combined transmission lines using adaptive network-based fuzzy inference system. Electr Power Syst Res 79(11):1538–1545

    Article  Google Scholar 

  5. Malathi V, Marimuthu NS, Baskar S (2010) Intelligent approaches using support vector machine and extreme learning machine for transmission line protection. Neuro Comput 73(10–12):2160–2167

    Google Scholar 

  6. Farshad M, Sadeh J (2012) Accurate single-phase fault-location method for transmission lines based on K-nearest neighbor algorithm using one-end voltage. IEEE Trans Power Deliv 27(4):2360–2367

    Article  Google Scholar 

  7. Khaleghi A, Sadegh MO, Ahsaee MG (2018) Permanent fault location in distribution system using phasor measurement units (PMU) in phase domain. Int J Electr Comput Eng 8(5):31–42

    Google Scholar 

  8. Ngu EE, Ramar K (2011) A combined impedance and traveling wave based fault location method for multi-terminal transmission lines. Int J Electr Power Energy Syst 33(10):1767–1775

    Article  Google Scholar 

  9. Pramote C, Kang N, Liao Y (2014) New accurate fault location algorithm for parallel transmission lines using local measurements. Electr Power Syst Res 108:68–73

    Article  Google Scholar 

  10. Dong X, Geng Zh, Ge Y et al (1997) Application of wavelet transform in power system fault signal analysis. Proc CSEE 17(6):421–424

    Google Scholar 

  11. Jafarian P, Sanaye-Pasand M (2010) A traveling-wave-based protection technique using wavelet/PCA analysis. IEEE Trans Power Deliv 25(2):588–599

    Article  Google Scholar 

  12. Ngu EE, Ramar K (2011) A combined impedance and traveling wave based fault location method for multi-terminal transmission lines. Int J Electr Power Energy Syst 33(10):1767–1775

    Article  Google Scholar 

  13. Bernadic A, Leonowicz Z (2012) Fault location in power networks with mixed feeders using the complex space-phasor and Hilbert–Huang transform. Int J Electr Power Energy Syst 48(1):208–219

    Article  Google Scholar 

  14. Razzaghi R, Lugrin G, Manesh H, Romero C, Paolone M, Rachidi F (2013) An efficient method based on the electromagnetic time reversal to locate faults in power networks. IEEE Trans Power Deliv 28(3):1663–1672

    Article  Google Scholar 

  15. Livani H, Evrenosoglu CY (2014) A machine learning and wavelet-based fault location method for hybrid transmission lines. IEEE Trans Smart Grid 5(1):51–59

    Article  Google Scholar 

  16. Yu T, Fan C, Gong Z (2010) A study on accurate fault location algorithm for parallel transmission line with a teed connection. Int J Electr Power Energy Syst 32(6):697–703

    Article  Google Scholar 

  17. Apostolopoulos CA, Korres GN (2011) A novel fault-location algorithm for double-circuit transmission lines without utilizing line parameters. IEEE Trans Power Deliv 26(3):1467–1478

    Article  Google Scholar 

  18. Apostolopoulos CA, Korres GN (2012) Accurate fault location algorithm for double-circuit series compensated lines using a limited number of two-end synchronized measurements. Int J Electr Power Energy Syst 42(1):495–507

    Article  Google Scholar 

  19. Sharafi A, Sanaye-Pasand M, Jafarian P (2011) Ultra-high-speed protection of parallel transmission lines using current travelling waves. IET Gener Transm Distrib 5(6):656–666

    Article  Google Scholar 

  20. Jiale S, Guobing S, Qingqiang X, Qin C (2006) Time-domain fault location algorithm for parallel transmission lines using unsynchronized currents. Int J Electr Power Energy Syst 28(4):253–260

    Article  Google Scholar 

  21. Fan C, Liu L, Tian Y (2011) A fault-location method for 12-phase transmission lines based on twelve-sequence-component. IEEE Trans Power Deliv 26(1):135–142

    Article  Google Scholar 

  22. Ngu EE, Ramar K, Eisa A (2012) One-end fault location method for un-transposed four-circuit transmission lines. Int J Electr Power Energy Syst 43(1):660–669

    Article  Google Scholar 

  23. Gajare A, Pradhan AK (2016) An accurate fault location method for multi-circuit series compensated transmission lines. IEEE Trans Power Syst 32(1):572–580

    Article  Google Scholar 

  24. Saber A (2018) New fault location scheme for four-circuit un-transposed transmission lines. Electr Power Energy Syst 99:225–232

    Article  MathSciNet  Google Scholar 

  25. Jang JS (1993) ANFIS: adaptive network-based fuzzy inference system. IEEE Trans Syst Man Cybern 23(3):665–685

    Article  Google Scholar 

  26. (1995) [PSCAD/EMTDC] Power system simulation software manual. Manitoba HVDC Research Center

  27. Reddy MJB, Mohanta DK (2008) Performance evaluation of an adaptive-network-based fuzzy inference system approach for location of faults on transmission lines using Monte Carlo simulation. IEEE Trans Fuzzy Syst 16(4):909–919

    Article  Google Scholar 

  28. Patel M, Patel RN (2012) Fault detection and classification on a transmission line using wavelet multi resolution analysis and neural network. Int J Comput Appl 47(22):27–33

    Google Scholar 

  29. Magnago FH, Abur A (1998) Fault location using wavelets. IEEE Trans Power Deliv 13(4):1475–1480

    Article  Google Scholar 

  30. Mallat SG (1989) A theory for multi resolution signal decomposition: the wavelet representation. IEEE Trans Pattern Anal Mach Intell 11(7):674–693

    Article  MATH  Google Scholar 

  31. Mahanty RN, Gupta PBD (2004) An improved method for digital relaying of transmission lines. Elect Power Compon Syst 32(10):1013–1030

    Article  Google Scholar 

  32. Khaleghi A, Sadegh MO, Ghazizadeh-Ahsaee M, Mehdipour A (2018) Transient fault area location and fault classification for distribution systems based on wavelet transform and adaptive neuro-fuzzy inference system (ANFIS). Adv Electr Electron Eng 16(2):155–166

    Google Scholar 

  33. Rojas I, Bernier JL, Rodriguez-Alvarez R, Prieto Z (2000) What are the main functional blocks involved in the design of adaptive neuro-fuzzy inference systems? Proc IEEE-INNS-ENNS Int Joint Conf Neural Netw 6:551–556 (24–27)

    Article  Google Scholar 

  34. DIgSILENT Power Factory, Version 14.1, DIgSILENT GmbH; 2011

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Correspondence to Mahmoud Oukati Sadegh.

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Khaleghi, A., Oukati Sadegh, M. Single-Phase Fault Location in Four-Circuit Transmission Lines Based on Wavelet Analysis Using ANFIS. J. Electr. Eng. Technol. 14, 1577–1584 (2019). https://doi.org/10.1007/s42835-019-00209-7

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