Zahra MORAVEJ, Omid HAJIHOSSEIN, Mohammad PAZOKI

Fault location in distribution systems with DG based on similarity of fault impedance

This paper presents a new method for locating a fault in distribution systems using the similarity of fault impedance. A four-step approach is proposed to locate the fault in the networks. First, pre- and during-fault voltages from smart feeders along the primary feeders are measured. Second, three-phase impedance to calculate fault current corresponding to voltage deviation from each smart meter is achieved. Third, a relation between fault current and fault impedance for each type of fault is extracted. Finally, based on the similarity of the estimated fault impedance for each bus, an error index is calculated. Moreover, an auxiliary process is utilized to analyze the estimated fault impedance. The proposed method uses both smart meters and phasor measurement units to obtain voltage sag. Distributed generation and loads are modeled as constant impedances and then they are considered in the three-phase impedance matrix. The suggested approach is evaluated in the IEEE 34-bus test distribution network, which is simulated in the PSCAD/EMTDC environment. The obtained numerical results con rm the acceptable accuracy of the proposed methodology for all types of faults with various fault resistances.

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[1] Janssen P. Monitoring, protection and fault location in power distribution networks using system. PhD, University of Brussels, Belgium, 2014.
[2] Kezunovic M. Smart fault location for smart grids. IEEE T Smart Grid 2011; 2: 11-17.
[3] Alwash SF, Ramachandaramurthy VK. New impedance-based fault location method for unbalanced power distri- bution systems. INT T Electr Energy 2015; 25: 1008-1021.
[4] Ren J, Venkata SS, Sortomme E. An accurate synchrophasor based fault location method for emerging distribution systems. IEEE T Power Deliver 2014; 29: 297-298.
[5] Liang R, Wang F, Fu G, Xue X, Zhou R. A general fault location method in complex power grid based on wide-area traveling wave data acquisition. Int J Elec Power 2016 31; 83: 213-218.
[6] He Z, Li X, Chen S. A traveling wave natural frequency-based single-ended fault location method with unknown equivalent system impedance. Int T Electr Energy 2016; 26: 509-524.
[7] Dong Y, Zheng C, Kezunovic M. Enhancing accuracy while reducing computation complexity for voltage-sag-based distribution fault location. IEEE T Power Deliver 2013; 28: 1202-1212.
[8] Jiang H, Zhang JJ, Gao W, Wu Z. Fault detection, identi cation, and location in smart grid based on data-driven computational methods. IEEE T Smart Grid 2014; 5: 2947-2956.
[9] Lot fard S, Kezunovic M, Mousavi MJ. A systematic approach for ranking distribution systems fault location algorithms and eliminating false estimates. IEEE T Power Deliver 2013; 28: 285-293.
[10] Mokhlis H, Awalin LJ, Bakar AHA, Illias HA. Fault location estimation method by considering measurement error for distribution networks. Int T Electr Energy 2014; 24: 1244-1262.
[11] Majidi M, Arabali A, Etezadi-Amoli M. Fault location in distribution networks by compressive sensing. IEEE T Power Deliver 2015; 30: 1761-1769.
[12] Majidi M, Etezadi Amoli M, Sami Fadali M. A novel method for single and simultaneous fault location in distribution networks. IEEE T Power Deliver 2015; 30: 3368-3376.
[13] Trindade FCL, Freitas W, Vieira JCM. Fault location in distribution systems based on smart feeder meters. IEEE T Power Deliver 2014; 29: 251-260.
[14] Cheng CS, Shirmohammadi D. A three-phase power ow method for real-time distribution system analysis. IEEE T Power Syst 1995; 10: 671-679.
[15] Pereira RF, da Silva LGW, Kezunovic M, Mantovani JRS. Improved fault location on distribution feeders based on matching during-fault voltage sags. IEEE T Power Deliver 2009; 24: 852-862.
[16] Brahma SM. Fault location in power distribution system with penetration of distributed generation. IEEE T Power Deliver 2011; 26: 1545-1553.
[17] Barker PP, De Mello RW. Determining the impact of distributed generation on power systems In: Power Engineering Society Summer Meeting; 16{20 July 2000; Seattle, WA, USA. New York, NY, USA: IEEE. pp. 1645-1656.
[18] Kersting WH. Distribution System Modeling and Analysis. Boca Raton, FL, USA: CRC Press, 2008.
[19] Makram EB, Girgis AA. A generalized computer technique for the development of the three-phase impedance matrix for unbalanced power systems. Electr Pow Syst Res 1988; 15: 41-50.
[20] Grainger JJ, Stevenson W Jr. Power System Analysis. New York, NY, USA: McGraw-Hill, 1994.
[21] Bower W, Ton D, Guttromson R, Glover S, Stamp J, Bhatnagar D, Reilly J. The Advanced Microgrid Integration and Interoperability. Sandia Report. Albuquerque, NM, USA: Sandia National Laboratories, 2014.
[22] Jiang J, Yang J, Lin Y, Liu C, Ma J. An adaptive PMU based fault detection/location technique for transmission lines. I. Theory and algorithms. IEEE T Power Deliver 2000;15: 486-493.
[23] IEEE. Standard for Synchrophasor Measurements for Power Systems, IEEE Std. C37.118.1-2011 (Revision of IEEE Std. C37.118-2005). New York, NY, USA: IEEE, 2011.