Detection of Fault and Faulty Phase on a Transmission Line During Power Swing

5 Pages Posted: 9 Jan 2020

See all articles by Bikash Patel

Bikash Patel

Kalyani Government Engineering College

Parthasarathi Bera

Electrical Engineering Department, Jadavpur University, Kolkata, India

Sunita Halder nee Dey

Electrical Engineering Department, Jadavpur University, Kolkata, India

Date Written: November 25, 2019

Abstract

The present article proposes a method based on autoregression technique for detection of a fault and faulty phase on a transmission line during power swing. The autoregression technique is used to predict the future samples of the fault current signal recorded at one end of the line. The half-cycle sum of magnitude difference (SMD) between the original signal and its predicted signal is calculated in a moving window to detect faults at swing condition. After fault detection, SMD is calculated over the next half cycle for each phase current to identify the faulty phases. The proposed method is verified for different fault conditions and fault parameters and it detects the fault within half cycle and identifies the faulty phase correctly.

Keywords: Autoregression technique, sum of magnitude difference (SMD), fault detection, fault features

Suggested Citation

Patel, Bikash and Bera, Parthasarathi and Halder nee Dey, Sunita, Detection of Fault and Faulty Phase on a Transmission Line During Power Swing (November 25, 2019). 2nd International Conference on Non-Conventional Energy: Nanotechnology & Nanomaterials for Energy & Environment (ICNNEE) 2019, Available at SSRN: https://ssrn.com/abstract=3493053 or http://dx.doi.org/10.2139/ssrn.3493053

Bikash Patel (Contact Author)

Kalyani Government Engineering College ( email )

Kalyani
Kalyani, West Bengal 741235
India

Parthasarathi Bera

Electrical Engineering Department, Jadavpur University, Kolkata, India ( email )

Sunita Halder nee Dey

Electrical Engineering Department, Jadavpur University, Kolkata, India ( email )

188, Raja S.C. Mallick Rd, Kolkata 700032
Calcutta, West Bengal 700032
India

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
13
Abstract Views
134
PlumX Metrics