Detecting the Fault Section in the Distribution Network with Distributed Generators Based on Optimal Placement of Smart Meters

Open access


One of the most important issues in employing distribution networks is detecting the fault location in medium-voltage distribution feeders. Due to the vastness of distribution networks and growing distributed generation (DG) sources in this network, detection is difficult with the common methods. The aim of this paper is to present a method based on voltage distributed meters in a medium-voltage distribution network (by smart meters installed along the feeder) in order to detect the fault location in the presence of DG sources. Due to vastness of distribution network and cost of installing smart meters, it is not economically possible to install meters in all the Buses of the network. That’s why in this article, combination of genetic and locating algorithms and fault-based on voltage drop has been used to suggest a method to optimize the meter locations. In order to evaluate the efficiency of the method suggested, first we determine the optimal number and location of the meters and then we apply the fault that has been simulated in different Buses of the sample network, using PSCAD/EMTDC software. After results analysis, the fault location is estimated by MATLAB. Simulation results show that the fault locating method by optimal number of meters has good efficiency and accuracy in detecting faults in different spots and in different resistance ranges.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • [1] Mak S.T. 1999 June. Synergism between intelligent devices and communication systems for outage mapping in distribution networks. In Paper presented at CIRED'99 15eme Congres International des Reseaux Electriques de Distribution.

  • [2] Gungor V.C. Sahin D. Kocak T. Ergut S. Buccella C. Cecati C. and Hancke G.P. 2011. Smart grid technologies: Communication technologies and standards. IEEE transactions on Industrial informatics 7(4) pp.529-539.

  • [3] Popa M. 2011 June. Data collecting from smart meters in an Advanced Metering Infrastructure. In 2011 15th IEEE International Conference on Intelligent Engineering Systems(pp. 137-142). IEEE.

  • [4] Luan W. 2010 October. Low cost feeder monitoring solution in support of utility operations. In Proc. CIGRE Conf. Power Syst.

  • [5] Kezunovic M. 2011. Smart fault location for smart grids. IEEE Transactions on Smart Grid 2(1) pp.11-22.

  • [6] Estebsari A. Pons E. Bompard E. Bahmanyar A. and Jamali S. 2016 June. An improved fault location method for distribution networks exploiting emerging LV smart meters. In 2016 IEEE Workshop on Environmental Energy and Structural Monitoring Systems (EESMS) (pp. 1-6). IEEE.

  • [7] Trindade F.C. and Freitas W. 2017. Low voltage zones to support fault location in distribution systems with smart meters. IEEE Transactions on Smart Grid 8(6) pp.2765-2774.

  • [8] Chen P.C. Malbasa V. Dong Y. and Kezunovic M. 2015. Sensitivity analysis of voltage sag based fault location with distributed generation. IEEE Transactions on Smart Grid 6(4) pp.2098-2106.

  • [9] Baldwin T. Kelle D. Cordova J. and Beneby N. 2014 March. Fault locating in distribution networks with the aid of advanced metering infrastructure. In 2014 Clemson University Power Systems Conference (pp. 1-8). IEEE.

  • [10] Pereira R.A.F. da Silva L.G.W. Kezunovic M. and Mantovani J.R.S. 2009. Improved fault location on distribution feeders based on matching during-fault voltage sags. IEEE Transactions on Power Delivery 24(2) pp.852-862.

  • [11] Lotfifard S. Kezunovic M. and Mousavi M.J. 2011. Voltage sag data utilization for distribution fault location. IEEE Transactions on Power Delivery 26(2) pp.1239-1246.

  • [12] Brahma S.M. 2011. Fault location in power distribution system with penetration of distributed generation. IEEE transactions on power delivery 26(3) pp.1545-1553.

  • [13] Liao Y. 2009. Fault location observability analysis and optimal meter placement based on voltage measurements. Electric Power Systems Research 79(7) pp.1062-1068.

  • [14] Trindade F.C. Freitas W. and Vieira J.C. 2014. Fault location in distribution systems based on smart feeder meters. IEEE transactions on Power Delivery 29(1) pp.251-260.

  • [15] Farag H.E. El-Saadany E.F. El Shatshat R. and Zidan A. 2011. A generalized power flow analysis for distribution systems with high penetration of distributed generation. Electric Power Systems Research 81(7) pp.1499-1506.

  • [16] Teng J.H. 2008. Modelling distributed generations in three-phase distribution load flow. IET generation transmission & distribution 2(3) pp.330-340.

  • [17] Baran M.E. and Wu F.F. 1989. Network reconfiguration in distribution systems for loss reduction and load balancing. IEEE Transactions on Power delivery 4(2) pp.1401-1407.

  • [18] Hung D.Q. and Mithulananthan N. 2013. Multiple distributed generator placement in primary distribution networks for loss reduction. IEEE Transactions on industrial electronics 60(4) pp.1700-1708.

  • [19] Dashtdar Masoud. “Fault Location in Distribution Network Based on Fault Current Analysis Using Artificial Neural Network.” Journal of Electrical & Computer Engineering 1 (2018): 18-32.

  • [20] Dashtdar Masoud Rahman Dashti and Hamid Reza Shaker. “Distribution network fault section identification and fault location using artificial neural network.” In 2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) pp. 273-278. IEEE 2018.

  • [21] Dashtdar Majid Masoud Dashtdar. “Fault Location in the Transmission Network Based on the Analysis of the Recorded Current by the Relay Using a Discrete Wavelet Transform.” 2rd International Conference on Electrical Engineering Mechanical Engineering Computer Science and Engineering. (2019).

  • [22] Majid Dashtdar Masoud Dashtdar Fault Location in the Transmission Network Using a Discrete Wavelet Transform American Journal of Electrical and Computer Engineering. Vol. 3 No. 1 2019 pp. 30-37. doi: 10.11648/j.ajece.20190301.14.

  • [23] Al-Fuhaidy Farouk Abduh Kamil Faisal Saif Alkamali Khaled Abdullah Al-Soufy Tianjin Feng Uma Devi Sankarasubbu Senthil Kumar Suburaj Majid Dashtdar et al. “DFT-Based OFDMA System with Phase Modulation for Broadband Communication.” American Journal of Electrical and Computer Engineering 3 no. 1 (2019): 1-9.

Journal information
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 8 8 8
PDF Downloads 7 7 7