Authors :
I. C. Oji; T. O. Ale; C. S. Odeyemi; O. I. Dare-Adeniran; O. A. Aliyu
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/r7mtp5zc
Scribd :
https://tinyurl.com/2w6a7kpe
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR2483
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Fault is a regular incidence on distribution
power system because distribution lines are always
exposed to the environment with high probability of fault
occurrence which when it happens, can cause hazardous
conditions, equipment failures, power instability, huge
financial loss and other forms of setback. In order to avoid
these setbacks, it is necessary to detect and locate the fault
on the network as fast as possible so as to prevent power
system damages and reduce system downtime. This
research study designed a smart fault location system
model that detected and located ground faults at the point
of occurrence using a developed 33 kV Ubulu-Uku radial
distribution system as a test feeder and then formulated
fault location equations which resulted into one single
equation for all ground fault types on the network. The
designed algorithm was evaluated on MATLAB 2023a
environment using different line impedances of 0.01 Ω,
0.15 Ω, 0.35 Ω, 0.50 Ω, and 0.65 Ω which produced
various ground faults located along path 6 section 17, path
8 secAtion 21, path 8 section 21, path 4 section 12 and path
8 section 21 with distance of fault from the main
substation obtained at 3.51 km, 3.93 km, 4.03 km, 4.81
km, and 4.21 km. The results presented show
performance of the designed algorithm and can be
encouraged for practical implementation with promising
result which will achieve some benefits like precise fault
location information analysis, reduce the overall response
time spent by maintenance crew to locate fault and reduce
cost of operational maintenance and supply interruptions.
Keywords :
Faults, Distribution Network, Fault Location, Impedance-Based Method.
References :
- Prajapat D., “Faults and Effects in Electrical Power Systems”, Madhav University Publication, India, (2020).
- Zhen Li, Jian Qiao, Yikai Wang, and Xianggen Yin, “A Comprehensive Method for Fault Location of Active Distribution Network Based on Improved Matrix Algorithm and Optimization Algorithm, International Transactions on Electrical Energy Systems”, Volume 2022, Article ID 4232090, (2022), pp. 1–11, https://doi.org/10.1155/2022/4232090
- Sadeh J., Bakshizadeh E., and Kazemzadeh R., “A New Fault Location Algorithm for Radial Distribution System using Modal Analysis”, Journal on Electrical Power and Energy System, 45, (2013), pp. 271 – 278.
- Hazarika J., and Roy O.P., “Distribution System Fault Analysis using MATLAB / SIMULINK”, Intelligent Computing and Technologies Conference, ICTCon2021, (2021) pp: 1 – 8.
- Folarin D. A., Sakala J. D., Matlotse E., and Gesennelwe-Jeffery M. A., “Modeling and Simulation of fault in Distribution Network System using MATLAB / SIMULINK”, IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), e-ISSN: 2278-1676, p-ISSN: 2320-3331, 13(3), Ver. 1, (2018), pp. 43 – 51, www.iosrjournal.org.
- Hamid M., Rahman D., Karsten H., and Hamid R. S., “Real Fault Location in a Distributed Network using Smart Feeder Meter Data”, Energies 2021, (2021), 14, 3242, pp. 1 – 16..
- Mbamaluikem P.O., Olabode O.R., and Adedokun A.G., “Artificial Neural Network Based Smart Shunt Fault Recognition System for the 33kV Nigerian Power lines”, In Proceedings at the 1st International Conference and Exhibition on Technological Innovation and Global Competitiveness of Federal Polytechnic, Ilaro, 5 – 8 November 2018, pp. 1 – 7.
- Mohammed A. M., and Ali, A.A., “A Novel Fault Locator System; Algorithm, Principle and Implementation”, IEEE Transaction on Power Delivery, 25(1), (2010), pp 35 – 46.
- Jelali D., and Moslemi N., “Fault Location for Radial Distribution System using Fault Generated High Frequency Transient and Wavelet Analysis”. In Proceedings at the 18th International Conference on Electricity Distribution, CIRED, Turin, 6 – 9 June 2005, 3, pp: 39 - 46
- Ancell, G. B., and Pahalawaththe N. C., (2011), “Maximum Likelihood Estimation of Fault Location on Transmission Line using Travelling wave”, IEE Publication, (2011)
- Ale, T. O., and Saliu, R. A., “Fault Detection on High Voltage Transmission lines using Discrete Wavelet Transform”, Journal of Emerging Trends in Engineering and Applied Science, 8 (3), (2017), pp. 136 – 142.
- Kulikov A., Ilyushin P., Suslov K., and Filuppov S., (2023), Estimating the Error of Fault Location on Overhead Power Lines by Emerging State Parameters using an Analytical Technique, Energies 2023, 16, 1552.
- Gohokar,V. N., and Gohokar, V. V., “Fault Location in Automated Distributed Network”, SEL Journal of Reliable Power, 1 (1), (2012), pp. 1 – 9.
- Choowong, W., and Teratum B., “Algorithm for Detecting, Identifying, Location and Experience to develop the Automated Fault Location in Radial Distribution System”, Journal of Electrical Engineering and Technology, 5 (1), (2010), pp. 36 – 44.
- Hizan, H., and Crossley, P. A., “Single-Ended Fault Technique on Radial Network using Fault Generated Current Signal”, IEE Transaction on Power Delivery, 19 (2), (2012), pp. 153 – 161.
- Awalin, L.J, Mokhlis, H., and Halim A.H.A, “Improved Fault Location on Distribution Network Based on Multiple Measurement of Voltage Sags Pattern”. In Proceedings at the IEEE International Conference on Power and Energy (PECon), Kota Kinabalu, Malaysia, 2 – 5 December 2012, pp. 767 – 772.
- Bedekar, P. P., Bhide, Sudhir R, Kale, Vijay S., (2011), "Fault section estimation in power system using Hebb's rule and continuous genetic algorithm," International Journal of Electrical Power & Energy Systems, 33, (2011), pp. 457-465
- Jameli, S., Bahmanya, A., and Ranjbar, S., (2020), “Hybrid Classifier for Fault Location in Active Distribution System”, Protection and Control of Modern Power System, https://doi.org/10.1186/s41601-020-00162-y, pp 1 - 9.
- Eminoglu, U., and Hocaoglu, M.H, (2005), A Robust Power Flow Algorithm for Radial Distribution System, IEEE Publication, PT05, pp: 8 – 14.
- Salim R.H., Salim K.C.O, and Bretas A.S., “Further Improvements on Impedance-based Fault Location for Power Distribution System”, IET Generation, Transmission and Distribution, 5 (4), (2011), pp. 467 – 478.
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Fault is a regular incidence on distribution
power system because distribution lines are always
exposed to the environment with high probability of fault
occurrence which when it happens, can cause hazardous
conditions, equipment failures, power instability, huge
financial loss and other forms of setback. In order to avoid
these setbacks, it is necessary to detect and locate the fault
on the network as fast as possible so as to prevent power
system damages and reduce system downtime. This
research study designed a smart fault location system
model that detected and located ground faults at the point
of occurrence using a developed 33 kV Ubulu-Uku radial
distribution system as a test feeder and then formulated
fault location equations which resulted into one single
equation for all ground fault types on the network. The
designed algorithm was evaluated on MATLAB 2023a
environment using different line impedances of 0.01 Ω,
0.15 Ω, 0.35 Ω, 0.50 Ω, and 0.65 Ω which produced
various ground faults located along path 6 section 17, path
8 secAtion 21, path 8 section 21, path 4 section 12 and path
8 section 21 with distance of fault from the main
substation obtained at 3.51 km, 3.93 km, 4.03 km, 4.81
km, and 4.21 km. The results presented show
performance of the designed algorithm and can be
encouraged for practical implementation with promising
result which will achieve some benefits like precise fault
location information analysis, reduce the overall response
time spent by maintenance crew to locate fault and reduce
cost of operational maintenance and supply interruptions.
Keywords :
Faults, Distribution Network, Fault Location, Impedance-Based Method.