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Fault Current Based Fault Location in Multiterminal Transmission Line using Wavelet Transform

P. Aravindan, C. Venkateswaran

Abstract


The transmission line fault is a very important issue in power system area. In order to restore the power system within a minimum period of interruption should be cleared quickly. So it is needed to identify the exact fault location in a transmission line. It is more difficult to find the fault location in multiterminal transmission line manually. Locating transmission line faults quickly and exactly is very important for the economy, safety and reliability of the power system. This project deals about Travelling Wave (TW) based fault location of the multiterminal transmission line by using Wavelet Transform (WT) for identifying the accurate fault location. Wavelet transform technique can be easily synchronized with other power system protective devices. In this paper, the simulation result shows that the proposed wavelet transform technique can locate faults more accurately above 99 percentage with different fault resistance. Thus the proposed technique is well matched for implementation in digital protection schemes. The wavelet transform technique, when combined with an advanced communication technology and wide area observing system, would be an effective tool for identifying the faults in any part of the transmission line system.


Keywords


Wavelet Transform, Travelling Wave, Fault Location, Fault Resistance

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References


Douglas.H., Pillay.P., and Ziarani.A.K., “A new algorithm for transient motor current signature analysis using wavelets,” IEEE Transactions on Industry Applications, vol.40, no.5, pp. 1361–1368, 2004.

Ebha Koley., Raunak Kumar., and Subhojit Ghosh., “Low cost microcontroller based fault detector, classifier, zone identifier and locator for transmission lines using wavelet transform and artificial neural network,” Electrical Power and Energy Systems, vol.81, no. 2, pp. 346–360, 2016.

Giovanni Manassero., Silvio Giuseppe Di Santo., and Daniel Gutierrez Rojas., “Fault location in series-compensated transmission lines based on heuristic method,” Electric Power Systems Research, vol.140, no.5, pp. 950-957, 2016.

Hassan Fathabadi., “Two novel proposed discrete wavelet transform and filter based approaches for short-circuit faults detection in power transmission lines,” Applied Soft Computing, vol.36, no.3, pp. 375-38, 2015.

Korkali,M., and A. Abur., "Fault location in meshed power networks using synchronized measurements,” North American Power Symposium (NAPS), vol.34, no.6, pp. 31-40, 2010.

Lopes.F.V., Fernandes.D., and Neves.W.L.A., “Fault Location on Transmission Lines Based on Travelling Waves,” International Conference on Power Systems Transients, vol. 22, no. 01, pp. 14-17.2011.

Mohammad Daisy., and Rahman Dashti., “Single phase fault location in power distribution network using combination of impedance based method and voltage sage matching algorithm,” Iranian Electrical Power Distribution Conference, vol.63, no.14, pp.28-29, 2015.

Radojevic.Z.M., Kim.C.H., Popov.M., Preston.G., and Terzija.V., “New Approach for Fault Location on Transmission Lines Not Requiring Line Parameters,” International Conference on Power Systems Transients, vol.51, no.08, pp. 3-6, 2009.

Tziouvaras.D.A., Roberts J.B., and G. Benmouyal., “New Multi-Ended Fault Location Design For Two- Or Three-Terminal Lines. In Developments in Power System Protection,” Seventh International Conference on IEEE, vol. 60, no.26, pp. 58-65, 2001.

Q. Jiang, X. Li., B. Wang., and H. Wang., “PMU-based fault location using voltage measurements in large transmission networks,” IEEE Transactions Power Delivery, vol. 27, no.3, pp. 1644–1652, July 2012.

N. Kang., and Y. Liao., “Double-circuit transmission-line fault location with the availability of limited voltage measurements,” IEEE Transactions on Power Delivery, vol. 27, pp. 325–336, 2012.


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