Abstract
Fault location in medium voltage (MV) electricity distribution networks has always been a challenge, in particular, for the last few years. The existence of information only at the beginning of the feeder and the complexity of the widespread and scattered distribution networks make fault location of MV distribution networks a difficult task. The performance of most of the existing methods for fault location is compromised when dealing with today’s MV distribution grid. In this paper, a new fault location method is introduced for MV distribution networks, using transient frequency analysis. The transient caused by fault in the network is analyzed. The main idea of fault location algorithm is to determine and measure the Analysis Index. The location of fault is identified through the relationship between the proposed Analysis Index and different sections in the distribution feeder. In order to evaluate and analyze the proposed method, at first a standard IEEE 11-node network is simulated and tested in MATLAB software, then the same procedure is repeated for a real 69-node network. The results confirm a good performance.
Similar content being viewed by others
References
Güngör VC, Sahin D, Kocak T, Ergüt S, Buccella C, Cecati C, Hancke GP (2011) Smart grid technologies: communication technologies and standards. IEEE Trans Ind Inf 7(4):529–539
Popa M (2011) Data collects from smart meters in an advanced metering infrastructure. In: Proceedings of the 15th IEEE international conference intelligent engineering systems, pp 137–142
Pourahmadi-Nakhli M, Safavi AA (2011) Path characteristic frequency-based fault locating in radial distribution systems using wavelets and neural networks. IEEE Trans Power Deliv 26:772–781
Thomas DWP, Carvalho RJO, Pereira ET (2003) Fault location in distribution systems based on traveling waves. In: IEEE Power technical conference proceedings, Bologna
Thukaram D, Khincha HP, Vijaynarasimha HP (2005) Artificial neural network and support vector machine approach for locating faults in radial distribution systems. IEEE Trans Power Deliv 20:710–721
Han F, Yu X, Al-Dabbagh M, Wang Y (2007) Locating phase-to ground short-circuit faults on radial distribution lines. IEEE Trans Ind Electron 54(3):1581–1589
Choi M-S, Lee S-J, Lim S-I, Lee D-S, Yang X (2007) A direct three-phase circuit analysis-based fault location for line-to-line fault. IEEE Trans Power Deliv 22:2541–2547
Choi M-S, Lee S-J, Lee D-S, Jin B-G (2004) A new fault location algorithm using direct circuit analysis for distribution systems. IEEE Trans Power Deliv 19:35–41
Girgis AA, Fallon CM, Lubkeman DL (1993) A fault location technique for rural distribution feeders. IEEE Trans Ind Appl 29:1170–1175
Zhu J, Lubkeman DL, Girgis AA (1997) Automated fault location and diagnosis on electric power distribution feeders. IEEE Trans Power Deliv 12:801–809
Liao Y (2011) Generalized fault-location methods for overhead electric distribution systems. IEEE Trans Power Deliv 26:53–64
Gabr MA et al (2017) A new impedance-based fault location scheme for overhead unbalanced radial distribution networks. Electr Power Syst Res 142:153–162
Gord E, Dashti R (2015) Improving the impedance based fault location method in distribution network considering the distributed generation unit. Int J Electron Commun Comput Eng 6:2278–4209
Chanda S, Srivastava AK (2016) Defining and enabling resiliency of electric distribution systems with multiple micro grids. IEEE Trans Smart Grid 7(6):2859–2868
IEEE Guide for Determining Fault Location on AC Transmission and Distribution Lines. In: IEEE Std C37.114-2014 (Revision of IEEE StdC37.114-2004), pp 1–76, 2015
Trindade FCL, Freitas W (2017) Low voltage zones to support fault location in distribution systems with smart meters. IEEE Trans Smart Grid 8(6):2765–2774
Cavalcante PAH, de Almeida MC (2018) Fault location approach for distribution systems based on modern monitoring infrastructure. In: IET generation, transmission and distribution, vol 12, no 1, pp 94–103
Dashti R, Sadeh J (2014) Accuracy improvement of impedance-based fault location method for power distribution network using distributed-parameter line model. Int Trans Electr Energy Syst 24:318–334
Dashti R, Sadeh J (2013) Applying dynamic load estimation and distributed-parameter line model to enhance the accuracy of impedance-based fault-location methods for power distribution networks. Electr Power Compon Syst 41(14):1334–1362
Dashti R, Daisy M, Shaker HR, Tahavori M (2017) Impedance-based fault location method for four-wire power distribution networks. IEEE Access 6:1342–1349
Dashti R, Salehizadeh S, Shaker H, Tahavori M (2018) Fault location in double circuit medium power distribution networks using an impedance-based method. Appl Sci 8(7):1034
Dashtdar M, Dashti R, Shaker HR (2018) Distribution network fault section identification and fault location using artificial neural network. In: 5th International conference on electrical and electronic engineering
Daisy M, Dashti R (2015) Single phase fault location in power distribution network using combination of impedance based method and voltage sage matching algorithm. In: 6th International conference on modeling, simulation, and applied
Dashti R, Sadeh J (2010) A new method for fault section estimation in distribution network. In: 2010 International conference on power system technology, pp 1–5
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendices
Appendix 1: Nomenclature
- DN:
-
Distribution network
- \( V_{{S_{a} }} \) :
-
Voltage of phase a at the beginning of section
- \( V_{{sa_{r} }} \) :
-
Real part of voltage of phase a at the beginning of section
- \( V_{{sa_{i} }} \) :
-
Imagine part of voltage of phase a at the beginning of section
- \( I_{{S_{a} }} \) :
-
Current of phase a at the beginning of section
- \( I_{{L_{a} }} \) :
-
Current of phase a at the end of section (load current)
- \( I_{{a_{r} }} \) :
-
Real part of current of phase a at the beginning of section
- \( I_{{a_{i} }} \) :
-
Imagine part of current of phase a at the beginning of section
- \( I_{\text{f}} \) :
-
Fault current at the fault point
- \( I_{a} \), \( I_{b} \), \( I_{c} \):
-
Phasor current of phase a, b, c
- \( I_{{L_{a} }} \) :
-
Load current or fault downstream current of phase a
- x :
-
Fault distance
- \( R_{\text{f}} \) :
-
Fault resistance
- \( Z_{{Laa_{r} }} \) :
-
Real part of self-line impedance of phase a
- \( Z_{{Laa_{i} }} \) :
-
Imagine part of self-line impedance of phase a
- \( Z_{{Lab_{r} }} \) :
-
Real part of mutual impedance of phase a, b
- \( Z_{{Lab_{i} }} \) :
-
Imagine part of mutual impedance of phase a, b
- \( Z_{{Lac_{r} }} \) :
-
Real part of mutual impedance of phase a, c
- \( Z_{{Lac_{i} }} \) :
-
Imagine part of mutual impedance of phase a, c
- V(t):
-
Time domain voltage
- \( v_{{a{\text{f}}}} = \left| {{\text{FFT}}\left( {v_{a} } \right)} \right| \) :
-
Absolute value of frequency Fourier transform (FFT) of the fault voltage waveform
- \( \alpha = v_{{a{\text{f}}}} = |{\text{FFT}}(v_{a} \left( {t_{1} :t_{2} } \right)| \) :
-
Characteristic factor of each branch
- v a :
-
Voltage of the phase in which fault has occurred
- t 1 :
-
Time at which fault starts
- t 2 :
-
Time at which transient data fault reach to steady state
- α r :
-
Characteristic factor extracted from real fault (using voltage stored at the feeder at the beginning of feeder)
- α s :
-
Characteristic factor extracted from feeder branches (through simulation and theoretical calculations)
- \( \aleph_{{{\text{s}}_{i} }} \) :
-
Analysis Index of the proposed method for a distribution system with n branches
- α r :
-
Characteristic factor extracted from real fault which has occurred in the sample system
- \( \alpha_{{{\text{s}}_{i} }} \) :
-
Characteristic factor extracted from sample feeder branches no. i
- \( \aleph_{{{\text{s}}_{\text{sum}} }} \) :
-
A symbol to show the used index in the proposed method that functions based on comparison
- \( \aleph_{{{\text{s}}_{{{\text{norm - }}2}} }} \) :
-
A symbol to show the used index in the proposed method that functions based on second norm
- \( m_{i} \) :
-
A symbol to show the difference between the absolute frequency transformation in real time and simulated fault in each section, for example for section #1: \( m_{1} = ||{\text{FFT}}(v_{a} \left( {t_{1} :t_{2} } \right)|_{\text{actual}} - |{\text{FFT}}(v_{a} \left( {t_{1} :t_{2} } \right)|_{{{\text{simulation}}_{{{\text{Section}}\left( 1 \right)}} }} | \)
Appendix 2
See Table 15.
Rights and permissions
About this article
Cite this article
Dashti, R., Gord, E., Najafi, M. et al. An intelligent and cost-effective method for single-phase fault location in conventional distribution systems. Electr Eng 102, 1975–1991 (2020). https://doi.org/10.1007/s00202-020-01008-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00202-020-01008-4