Protection and Controlling of Transmission Lines by using Machine Learning Techinique
R Vijaya Krishna1, N S S Rama Krishna2, J Ravi Kumar3

1R Vijaya Krishna, Assistant Professor, Department of EEE, GMRIT, Rajam, India.,
2N S S Rama Krishna, Assistant Professor, Department of EEE, GMRIT, Rajam, India.
3J Ravi Kumar, Assistant Professor, Department of EEE, GMRIT, Rajam, India.

Manuscript received on 03 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 July 2019 | PP: 3252-3258 | Volume-8 Issue-9, July 2019 | Retrieval Number: I9005078919/19©BEIESP | DOI: 10.35940/ijitee.I9005.078919

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Abstract: Now a day’s electrical system is at intervals the tactic to convert into smart power system with interconnected national and regional grids. wattage system is growing, and quality in all sectors like generation, transmission, distribution and lading systems. Faults like tangency condition lands up in severe economic losses & reduces responsibility of the electrical system. These faults cause interruption to electrical flows, instrumentality damages & even cause death of humans, birds & animals. For avoiding these styles of things, we’ve got to clear or nullify the fault. Fault clearing is also an important task in facility network. It is often done by exploitation protecting devices like switch gears. Protection plays a very important role in fashionable facility network, right from generation through transmission to distribution end. Multi useful relay additionally put in in fashionable power grid network for cover of conductor, generator protection, motor protection, real time fault location, protection of bus bar and totally different necessary equipment’s. A reliable, continuous give of electricity is very important for functioning of today’s modern sophisticated advanced society. it’s usually obtained by providing protection against to the faults in grid. This paper is devoted to abnormal system behaviour below conditions of faults in power transmission lines exploitation MATLAB Simulation and planned for fault detection, classification & location by exploitation ANN (Artificial Neural Networks).
Key words: Conductor Protection, Faults Classification & Detection, Artificial Neural Network.

Scope of the Article: Classification