Publication Type : Journal Article
Publisher : COMPUSOFT, An International Journal of Advanced Computer Technology
Source : Compusoft, 8(2), pp. 3042-3046 August 2019.
Url : https://www.proquest.com/openview/0946e69c96e1232795678cf6f61328b5/1?cbl=2032622&pq-origsite=gscholar&parentSessionId=2NZt9Gwuk%2FKLU1rDbdAnlGkH67rkFBN6RVG72jG%2F4kk%3D
Keywords : Artificial Neural Network (ANN); Discrete Wavelet Transform (DWT); Wavelet Transform (WT)
Campus : Amritapuri
School : School of Engineering
Department : Electrical and Electronics
Year : 2019
Abstract : Transmission lines which carries bulk amount of power from generating units to the end users are more prone to fault, since they exposed to atmosphere. Thus the protections of transmission lines are vital in maintaining the continuity in services, and to reduce its impact on rest of the power system. Locating the fault in an interconnected power system is necessary to ensure good selectivity in the protection scheme. This paper proposes a smart approach for locating the fault in interconnected power transmission grids with the help of discrete wavelet transform (DWT) and artificial neural network (ANN), the combined use of
WT and ANN ensures an adaptive and accurate scheme for locating the fault. The proposed algorithm is analyzed and validated on a nine bus system using MATLAB/Simulink software.
Cite this Research Publication : Angel, T.S., Neethu, A.S., Ravikumar Pandi, V., Kanakasabapathy, P. WT and ANN based smart fault location for interconnected power transmission grids, Compusoft, 8(2), pp. 3042-3046 August 2019.