Fault Prediction in Transmission Line in Presence of Wind DG Using Wavelet Transform
Anshuman Bhuyan1, Basanta. K Panigrahi2, S. Pati3, S. K Gouda4, P. K Sahoo5, A. Sabat6, A. Dash7
1Anshuman Bhuyan, Department of Electrical, S”O‟A University, ITER, Bhubaneswar (Odisha), India.
2Basanta. K Panigrahi, Department of Electrical, S”O‟A University, ITER, Bhubaneswar (Odisha), India.
3S. Pati, Department of Electrical, S”O‟A University, ITER, Bhubaneswar (Odisha), India.
4S. K. Gouda, Department of Electrical, S”O‟A University, ITER, Bhubaneswar (Odisha), India.
5P. K Sahoo, Department of Electrical, S”O‟A University, ITER, Bhubaneswar (Odisha), India.
6A. Sabat, Department of Electrical, S”O‟A University, ITER, Bhubaneswar (Odisha), India.
7A. Dash, Department of Electrical, S”O‟A University, ITER, Bhubaneswar (Odisha), India.
Manuscript received on 26 May 2019 | Revised Manuscript received on 13 June 2019 | Manuscript Published on 26 June 2019 | PP: 291-295 | Volume-8 Issue-1S5 June 2019 | Retrieval Number: A00510681S519/2019©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: For a reliable power system operation, protection is an important aspect. This is a very critical present day issue. The prediction of type of fault is very important for maintaining uninterrupted power supply in a power system network. In addition to that prediction of fault is also very important for rapid digital relaying operation on doubly fed transmission lines. Wavelet transform is one of the best methods for fault prediction analysis. Further selection of proper wavelet is necessary for extracting the dynamic features of the current signals at the instant of fault occurrence on a transmission line. This paper deals with the prediction of fault in a doubly fed transmission line in the presence of wind DG. The work done in this paper employs simulation of power system in MATLAB Simulink environment and python software.
Keywords: Distributed Generator (DG), Wavelet Transform (WT). Fast Fourier Transform (FFT), Photovoltaic Cell (PV Cell).
Scope of the Article: Regression and Prediction