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Title: :  Data Mining and FACTS Based Transmission Line Protection
PaperId: :  5126
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 3 2017
DUI:    16.0415/IJARIIE-5126
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vishalsinh V. BaisPROF RAM MEGHE COLLEGE OF ENGINEERING & MANAGEMENT, BADNERA-AMRAVATI
SAGAR D NIMKARPROF RAM MEGHE COLLEGE OF ENGINEERING & MANAGEMENT, BADNERA-AMRAVATI
K.S.PanapliyaProf Ram Meghe College of Engineering & Management, Badnera-Amravati

Abstract

ELECTRICAL ENGINERRING
Data mining distance protection, FACTS, fault identification, transmission line protection
an electrical power network, as a whole, consists of generation, transmission, and distribution. The performance of a power network is frequently affected by the transmission line faults, which give rise to disruption in power flow. Therefore, transmission of electric power and necessary protective measures are the vital issues need to be addressed properly. In demand of electric power and addition of new generation capacity to meet the demand, necessitate enhancement of large transmission capacity between generation and bulk consumption points. This can be achieved either by the development of new transmission corridor or by enhancing the power transfer intensity of existing transmission assets Distance protection is used to protect the transmission line against faults by measuring the line voltages and currents at remote end buses using digital fault recorders. Faults on transmission lines need to be detected, classified, located accurately, and cleared as fast as possible. In power transmission line protection, faulty phase identification and location of fault are the two most important items which need to be addressed in a reliable and accurate manner. Distance relaying techniques based on the measurement of the impedance at the fundamental frequency between the fault location and the relaying point have attracted wide spread attention. The sampled voltage and current data at the relying point are used to locate and classify the fault involving the line with or without fault resistance present in the fault path. In this paper an adaptive approach for FACTS based transmission line protection is proposed and analyzed for different scenario.

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IJARIIE Vishalsinh V. Bais, SAGAR D NIMKAR, and K.S.Panapliya. "Data Mining and FACTS Based Transmission Line Protection" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 3 2017 Page 210-217
MLA Vishalsinh V. Bais, SAGAR D NIMKAR, and K.S.Panapliya. "Data Mining and FACTS Based Transmission Line Protection." International Journal Of Advance Research And Innovative Ideas In Education 3.3(2017) : 210-217.
APA Vishalsinh V. Bais, SAGAR D NIMKAR, & K.S.Panapliya. (2017). Data Mining and FACTS Based Transmission Line Protection. International Journal Of Advance Research And Innovative Ideas In Education, 3(3), 210-217.
Chicago Vishalsinh V. Bais, SAGAR D NIMKAR, and K.S.Panapliya. "Data Mining and FACTS Based Transmission Line Protection." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 3 (2017) : 210-217.
Oxford Vishalsinh V. Bais, SAGAR D NIMKAR, and K.S.Panapliya. 'Data Mining and FACTS Based Transmission Line Protection', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, 2017, p. 210-217. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Data_Mining_and_FACTS_Based_Transmission_Line_Protection_ijariie5126.pdf (Accessed : 12 May 2017).
Harvard Vishalsinh V. Bais, SAGAR D NIMKAR, and K.S.Panapliya. (2017) 'Data Mining and FACTS Based Transmission Line Protection', International Journal Of Advance Research And Innovative Ideas In Education, 3(3), pp. 210-217IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Data_Mining_and_FACTS_Based_Transmission_Line_Protection_ijariie5126.pdf (Accessed : 12 May 2017)
IEEE Vishalsinh V. Bais, SAGAR D NIMKAR, and K.S.Panapliya, "Data Mining and FACTS Based Transmission Line Protection," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, pp. 210-217, May-Jun 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/Data_Mining_and_FACTS_Based_Transmission_Line_Protection_ijariie5126.pdf [Accessed : 12 May 2017].
Turabian Vishalsinh V. Bais, SAGAR D NIMKAR, and K.S.Panapliya. "Data Mining and FACTS Based Transmission Line Protection." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 3 (12 May 2017).
Vancouver Vishalsinh V. Bais, SAGAR D NIMKAR, and K.S.Panapliya. Data Mining and FACTS Based Transmission Line Protection. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 12 May 2017]; 3(3) : 210-217. Available from: https://ijariie.com/AdminUploadPdf/Data_Mining_and_FACTS_Based_Transmission_Line_Protection_ijariie5126.pdf
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