Volume : 9, Issue : 6, JUN 2023
NATIONAL CONFERENCE ON INNOVATIONS IN COMPUTING TECHNOLOGIES (NCICT'23)
FAULT ANALYSIS IN LOW TENSION TRANSMISSION LINE USING ELCB WITH IOT BASED SMART SYSTEM
DR M YUVARAJU, S ANUSH KUMAR, A ATCHAYA, U GOKULNATH, M KEERTHANA, V M SUBIYA
Abstract
Fault analysis in transmission line is a very focusing issue in power system engineering to clear fault in short time and re-establish power system as quickly as possible on very minimum interruption. However, the fault detection that interrupts the transmission line is itself challenging task to investigate fault as well as improving the reliability of the system. The transmission line is the most important parameters that connect the whole power system in power transmission. Fault location technique in transmission line is the most important part of the power system. Low tension transmission lines are an essential component in the distribution of electrical power to consumer. However, faults in low tension transmission line can lead to power outages, equipment damage, and even fire hazards. Therefore, early detection and isolation of faults are critical to ensure continuous power supply and prevent accidents. The proposed system utilizes ELCB to detect ground faults and IoT sensors to monitor voltage and current levels, power consumption, and other parameters. Real time data collected by the IoT sensors are analyzed by the system to detect any abnormality and to isolate the faulty section of the line promptly. IOT system also sends alert messages to the maintenance team to initiate the process.
Keywords
ELCB, FAULT IN TRANSMISSION LINE, FAULT LOCATION, IOT, LOW TENSION TRANSMISSION LINE, TRANSFORMER.
Article : Download PDF
Cite This Article
-
Article No : 17
Number of Downloads : 1320
References
1. R Navaneetha Krishna, Babugouda RJ, VanneshBM, Md.Shamim,Khan,” Transmission Line Fault Monitoring system”, JETIR,Vol.6 issue 5,May 2019,ISSN 2349-5162
2. S.Suresh, R.Nagarajan,L.Sakthivel, v.Logesh, C.Mohandass, G. Tamilselvan, Department of Electrical and electronics engineering, Gnanamani college of technology, Namakkal, India“ Transmission line fault monitoring and identification system by using internet of Things”, International journal of advanced Engineering Reasearch and science (IJAERS), [VOl-4,Issue-4,Apr-2017], ISSN:2349-6495 (p)| 2456-1908.
3. A.Biswas, T.Ekanayake, and B.Doyle,” Fault analysis of Transmission Lines using PMU Data,” in IEEE Transctions on powerdelivery, Vol.32, no.1, pp.444-453, feb.2017.
4. Moradi and M.Ghasemi,” Power system fault Detection and classification using wavelet Multiresolution signal Decomposition,” in IEEE Transactions on power Delivery, vol.23, no.3, pp.1061-1070,April 2008.
5. Y.Xian, J.Huang ,and y.Liu,” Fault Diagnosis and Fault Location in Transmission lines using wavelet Transform and Data Mining Techniques,” in IEEE Transactions on power Delivery, Vol.28, no.2, pp.977-985, April 2013.
6. Benson Mansingh.P.M and Yuvaraju.M,” Improved data transmission using Li-Fi technology for home automation application”, Journal of Ambient Intelligence and Humanized Computing, vol 12, pp 5581-5588, 2021.
7. Yuvaraju.M, and Divya.M,” Residential load forecasting by recurrent neural network on LSTM model”, 2020 4th International Conference on Intelligent Computing and Control System (ICICCS), IEEE explore, pp,395-400,2020.
8. Yuvaraju.M and Monika.M,” IOT based vehicle parking placing detection using Arduino”, International Journal of Engineering Sciences and research Technology (IJESRT), vol.6, no.5, pp,536-542, 2017.
9. Sindhuja.M and Yuvaraju. M,”Congestion control using On – Board Data Units in VANET Scenarios”, International Journal of MC Square Scientific Research,vol.7,no.1,pp.1-9,2015.
10. Yuvaraju.M, Naraina.A and Deepika.K,” Wireless based on perfunctory fire detection and liberate system”, International Research Journal of Engineering and Technology (IRJET), vol.3, no.6, pp.468 a, 2016.
