Fault Detection, Classification and Location on Transmission Lines using Fundamental Phasor Based Approach
Kumarraja Andanapalli1, Nazeer Shaik2, Srinivas Vudumudi3, Bhanu Chandar Yenugu4
1Kumarraja Andanapalli, Department of Electrical and Electronics Engineering, S.R.K.R. Engineering College, Bhimavaram (Andhra Pradesh), India.
2Nazeer Shaik, Department of Electrical and Electronics, S.R.K.R. Engineering College, Bhimavaram (Andhra Pradesh), India.
3Srinivas Vudumudi, Department of Electrical and Electronics Engineering, S.R.K.R. Engineering College, Bhimavaram (Andhra Pradesh), India.
4Bhanu Chandar Yenugu, Department of Electrical and Electronics Engineering, S.R.K.R. Engineering college, Bhimavaram, (Andhra Pradesh), India.
Manuscript received on 13 May 2019 | Revised Manuscript received on 07 June 2019 | Manuscript Published on 15 June 2019 | PP: 288-293 | Volume-8 Issue-1S3 June 2019 | Retrieval Number: A10510681S319/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The intent of this paper to instigate a fault detection, classification and location scheme for two terminal long transmission lines network using fundamental phasor based approach. This method utilizes the voltage and current signals are measured from the relay and phasor quantities are estimated with the aid of DFT (discrete fourier transform) a signal processing technique. The proposed algorithm uses absolute current phasor values for fault detection algorithm from three phase quantified current signals from the relay end. After, fault detection, utilization of one cycle information about post fault data of absolute current phasors provides clear discrimination between faulted phase and healthy phase. Zero sequence absolute current phasors shows the involvement of ground during fault condition. Later, an fault location algorithm is developed to locate the fault for faster repair and bring back into service using impedance algorithm. The entire algorithm is tested on 400 kV, 50 Hz two terminal bus system by considering different events like variation of resistance, distance, angle of inception and type of the fault. Performance investigation is done under various fault situations through MATLAB/SIMULINK and results show the accuracy of the algorithm.
Keywords: Transmission Lines, DFT (Discrete Fourier Transform), Fault Detection, Classification, Location, Sequence Components.
Scope of the Article: Wireless Power Transmission