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Call for Papers:Vol.9 Issue.3

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Title: :  Double Line Fault Classification Using ANN
PaperId: :  8697
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 3 2018
DUI:    16.0415/IJARIIE-8697
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Swapnil H.ShingateM.S.S COET JALNA
Pankaj BhakareM.S.S COET JALNA

Abstract

ELECTRICAL
Artificial Intelligence, Double circuit transmission line, line trap
The protection of double circuit transmission lines could be a difficult task. This paper presents a protection technique supported the high-frequency transients generated by the fault to hide nearly the entire length of double circuit transmission lines. For this purpose, befittingly designed line traps area unit put in at terminals of the protected line, and therefore the Artificial Neural Network with appropriate range of Neurons is employed to classify the faults supported the frequency spectrum of the RMS current and RMS voltage signals. In depth simulation studies indicate that the projected approach is well capable of discriminating differing types of faults and provides a really quick, secure, and reliable protection technique The simulation model done in MATLAB simulink for system analysis. In this model 300 km, 25 KV, 50Hz transmission line power system model design with three zone bus bar system. One end bus bar data measurement utilized for three phase RMS voltage and current measurement. Also Neural Network training done for designed power system model using MATLAB Simulink.

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IJARIIE Swapnil H.Shingate, and Pankaj Bhakare. "Double Line Fault Classification Using ANN" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 3 2018 Page 1861-1871
MLA Swapnil H.Shingate, and Pankaj Bhakare. "Double Line Fault Classification Using ANN." International Journal Of Advance Research And Innovative Ideas In Education 4.3(2018) : 1861-1871.
APA Swapnil H.Shingate, & Pankaj Bhakare. (2018). Double Line Fault Classification Using ANN. International Journal Of Advance Research And Innovative Ideas In Education, 4(3), 1861-1871.
Chicago Swapnil H.Shingate, and Pankaj Bhakare. "Double Line Fault Classification Using ANN." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 3 (2018) : 1861-1871.
Oxford Swapnil H.Shingate, and Pankaj Bhakare. 'Double Line Fault Classification Using ANN', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 3, 2018, p. 1861-1871. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Double_Line_Fault_Classification_Using_ANN_ijariie8697.pdf (Accessed : 10 January 2019).
Harvard Swapnil H.Shingate, and Pankaj Bhakare. (2018) 'Double Line Fault Classification Using ANN', International Journal Of Advance Research And Innovative Ideas In Education, 4(3), pp. 1861-1871IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Double_Line_Fault_Classification_Using_ANN_ijariie8697.pdf (Accessed : 10 January 2019)
IEEE Swapnil H.Shingate, and Pankaj Bhakare, "Double Line Fault Classification Using ANN," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 3, pp. 1861-1871, May-Jun 2018. [Online]. Available: http://ijariie.com/AdminUploadPdf/Double_Line_Fault_Classification_Using_ANN_ijariie8697.pdf [Accessed : 10 January 2019].
Turabian Swapnil H.Shingate, and Pankaj Bhakare. "Double Line Fault Classification Using ANN." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 3 (10 January 2019).
Vancouver Swapnil H.Shingate, and Pankaj Bhakare. Double Line Fault Classification Using ANN. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : 10 January 2019]; 4(3) : 1861-1871. Available from: http://ijariie.com/AdminUploadPdf/Double_Line_Fault_Classification_Using_ANN_ijariie8697.pdf
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