Fault Location Detection Using Impedance and Impulse Injection on 20 kV Distribution System Wonokromo Base on Geographic Information System

The distribution system is one of the most important part in the power system electric supply. Long-distance topology made the distribution system is difficult to restore when the fault happened, because information about the fault location mostly counting on the maintenance crew or operator that patrol in the field, so it spent a lot of times for restoration and means economic losses not only on the supply side but also on the customer side. Unfortunately, fault cannot be avoided, even we have already done preventive and use the best protection device, it must have happened anytime and anywhere. This paper described a comparative analysis between impedance base method and impulse injection method to find fault location on overhead 20 kV distribution system, Wonokromo, Surabaya, East Java. Wonokromo distribution system capacity is about 60 MVA that used to supply PDAM Surya Sembada Kota Surabaya for IPAM Ngagel 1 and IPAM Ngagel 2 with a load capacity of 3,645 kVA and 1,500 kVA with a distance of about 738.9 m. The distribution system has been modeled using Simulink, MATLAB r2016a that validated using ETAP 12.6. The simulation is done by varying the fault type (LG, LLG, and LLLG), fault resistance (Rf : 0.001, 10, 50, and 100 ohm), then the location of the fault ( 25 %, 50%, 75%, and 100% of distance). From the simulation result, we get information that the impedance base method is better than the impulse injection method when the detail parameter like line branch, load, sequence impedance, and fault resistance is completed, but for the system that have no detail data, the impulse injection is better. The accuracy of the impedance method is about 0.25%, while the injection method accuracy is about 1.7%. The simulation result can be visualized using Geographic Information System (GIS) to track and check the real location base on the calculation result.

[1]  Kevin Warwick,et al.  Real-time expert system for fault location on high voltage underground distribution cables , 1992 .

[2]  C. Dias,et al.  High performance digital processing of high voltage impulses based on time-frequency analysis , 2000, 2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099).

[3]  D. Costello,et al.  Impedance-Based Fault Location Experience , 2006, 2006 IEEE Rural Electric Power Conference.

[4]  Irnanda Priyadi,et al.  IDENTIFIKASI JENIS DAN LOKASI GANGGUAN HUBUNG SINGKAT PADA SALURAN TRANSMISI BERBASIS WAVELET , 2014 .

[5]  Linh Tran Hoai,et al.  Fault detection on the transmission lines using the time domain reflectometry method basing on the analysis of reflected waveform , 2016, 2016 IEEE International Conference on Sustainable Energy Technologies (ICSET).

[6]  B. Clegg,et al.  Modern cable-fault-location methods , 1975 .

[7]  M. García-Gracia,et al.  Network impulse response based-on fault location method for fault location in power distribution systems , 2016 .

[8]  Sushma Ghimire Analysis of Fault location methods on transmission lines , 2014 .

[9]  Vivek Kumar Verma,et al.  Practical simulation and modelling of lightning impulse voltage generator using marx circuit , 2014 .

[12]  Ontoseno Penangsang,et al.  Penentuan Lokasi Gangguan Hubung Singkat pada Jaringan Distribusi 20 KV Penyulang Tegalsari Surabaya dengan Metode Impedansi Berbasis GIS (Geographic Information System) , 2017 .

[13]  Valentinas Dubickas,et al.  On-line time domain reflectometry diagnostics of medium voltage XLPE power cables , 2006 .

[14]  Iosr journals,et al.  Detection and Location of Faults in 11KV Underground Cable by using Continuous Wavelet Transform (CWT) , 2015 .

[15]  A. P. Vaidya,et al.  Detection and classification of faults on 220 KV transmission line using wavelet transform and neural network , 2013 .

[16]  S. Sulaiman,et al.  Analysis of wave propagation in Time Domain Reflectometry circuit simulation model , 2010, 2010 IEEE International Conference on Power and Energy.

[17]  P. F. Gale,et al.  Cable-fault location by impulse-current method , 1975 .

[18]  W. C. Boaventura,et al.  Impulse response analysis of a real feeder for high impedance fault detection , 1994, Proceedings of IEEE/PES Transmission and Distribution Conference.

[19]  Syafii,et al.  Koordinasi Sistem Proteksi Arus Lebih Pada Penyulang Distribusi 20 kV GI Pauh Limo , 2015 .

[20]  Kai Chen Goh,et al.  Fault Location Techniques in Electrical Power System-A Review , 2017 .