Arcing fault recognition using spectral analysis method
In transmission lines while one fault happens it’s crucial to recognize the kind and the type it belongs to. This means it must be indentified whether it is transient or permanent. The methods for recognizing these faults can be categorized into two varieties. First, in the dead time of recloser and...
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2009
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English |
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TK Electrical engineering Electronics Nuclear engineering |
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TK Electrical engineering Electronics Nuclear engineering Gholami, Majid Arcing fault recognition using spectral analysis method |
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In transmission lines while one fault happens it’s crucial to recognize the kind and the type it belongs to. This means it must be indentified whether it is transient or permanent. The methods for recognizing these faults can be categorized into two varieties. First, in the dead time of recloser and second during faults. This project studies the second method which has the capability to recognize the type of fault during the fault, means before the breaker’s opening, which is called spectral analysis method. In this project programming of arcing faults recognition base on spectral analysis method was presented in ATP and MATLAB software. Then, the most frequent single-phase to ground fault on transmission line was considered and results were evaluated with and without the fault resistance into fault model. Ultimately, it is concluded that spectral analysis method operates sooner than previous methods for arcing fault recognition that can improve the power system transient stability and reliability. Furthermore, it provides much higher service continuity to the costumers. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Gholami, Majid |
| author_facet |
Gholami, Majid |
| author_sort |
Gholami, Majid |
| title |
Arcing fault recognition using spectral analysis method |
| title_short |
Arcing fault recognition using spectral analysis method |
| title_full |
Arcing fault recognition using spectral analysis method |
| title_fullStr |
Arcing fault recognition using spectral analysis method |
| title_full_unstemmed |
Arcing fault recognition using spectral analysis method |
| title_sort |
arcing fault recognition using spectral analysis method |
| granting_institution |
Universiti Teknologi Malaysia, Faculty of Electrical Engineering |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2009 |
| url |
http://eprints.utm.my/id/eprint/12359/1/MajidGholamiMFKE2009.pdf |
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1747814928551510016 |
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my-utm-ep.123592018-06-25T08:57:37Z Arcing fault recognition using spectral analysis method 2009 Gholami, Majid TK Electrical engineering. Electronics Nuclear engineering In transmission lines while one fault happens it’s crucial to recognize the kind and the type it belongs to. This means it must be indentified whether it is transient or permanent. The methods for recognizing these faults can be categorized into two varieties. First, in the dead time of recloser and second during faults. This project studies the second method which has the capability to recognize the type of fault during the fault, means before the breaker’s opening, which is called spectral analysis method. In this project programming of arcing faults recognition base on spectral analysis method was presented in ATP and MATLAB software. Then, the most frequent single-phase to ground fault on transmission line was considered and results were evaluated with and without the fault resistance into fault model. Ultimately, it is concluded that spectral analysis method operates sooner than previous methods for arcing fault recognition that can improve the power system transient stability and reliability. Furthermore, it provides much higher service continuity to the costumers. 2009 Thesis http://eprints.utm.my/id/eprint/12359/ http://eprints.utm.my/id/eprint/12359/1/MajidGholamiMFKE2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering [1] Weedy B. M. (1972), Electric Power Systems Second Edition, John Wiley and Sons, Printed in London. [2] Anderson, P. M. (1999), Power System Protection, IEEE Press, Printed in New York [3] IEEE Power System Relaying Committee Working Group, (1992), “Single phase tripping and auto reclosing of transmission lines IEEE committee report”, IEEE Trans. Power Del. [4] Websper, S. P. Johns, A. T. Aggarwal, R. K. and Dunn, R. W. (1995), “An investigation into breaker reclosure strategy for adaptive single pole autoreclosing,” Proc. Inst. Elect. Eng. [5] RadojeviC Z. M., Terzija V. V., DjuriC M. B. (1996), Spectral domain arcing fault recognition and fault distance calculation in transmission systems, Electric Power Systems Research 37, Elsevier. [6] Zhigang Hu and Watson, T.J., (2004), Spectral Analysis for Characterizing Program Power and Performance, IBM Corporation, Printed in Princeton University. [7] Radojevic Z. M., Terzija V. V., DjuriC M. B. (2004), A Novel Approach to the Distance Protection, Fault Location And Arcing Faults Recognition, IEEE. [8] Terzija, V. Nelles, D. (1993), Parametrische Modelle des Lichtbogens und Parameterschatzung auf Grund der simulierten und echten Daten, Univ. Kaiserslautern, Printed in Germany. [9] V.V. Terzija, H.J.Koglin (2000) Long Arc in Still Air: Modeling Simulation And Model Parameter Estimation, IEEE. [10] V.V. Terzija, H.J.Koglin (2002) Long Arc in Free Air: Modeling, Simulation And Model-Parameter Estimation, IEEE. [11] y. gE, f. sUI AND y. xIAO (1989), pREDICTION METHODS FOR PREVENTING SINGLE-PHASE RECLOSING ON PERMANENT FAULT, ieee tRANS. ON pOWER dELIVERY. [12] Aggarwal, R.K., Johns, A.T., Song, Y.H., Dunn, R. W., Fitton, D.S., (1994), Neural-network based adaptive single-pole autoreclosure technique for EHV transmission systems, IEEE Proc.-Gener. Transm. Distrib. [13] Ahn S. P., et al. (2001), An Alternative Approach to Adaptive Single Pole Auto- Reclosing in High Voltage Transmission Systems Based on Variable Dead Time Control, IEEE TRANSACTIONS ON POWER DELIVERY. [14] DjuriC, M.B. and Terzija,V.V., (1995), A new approach to the arcing faults detection for autoreclosure in transmission systems, IEEE Trans. Power Delivery. [15] C.J.Lee, J.B.Park, J.R.Shin, Z.M.Rdojevich (2006), A New Two-Terminal Numerical Algorithm for Fault Location, Distance Protection, and Arcing Fault Recognition, IEEE. [16] D.A. Tziounvaras, J.B. Roberts, G. Benmouyal (2001) New Multi-Ended Fault Location Design for Two or Three-Terminal lines, IEE, Conference Publication No.479, Amsterdam, pp.395-398. [17] IEE Power Engineering Society (PES), IEEE Guide for Determining Fault Location on AC Transmission and Distribution Lines, IEEE Std. C37.114 TM-2004 [18] K.Zimmerman, D. Costello (2005) Impedance-Based Fault Location Experience, Annual Conference for Protective Relay Engineers, pp.211-226 |