This paper presents a survey on location of faults in overhead transmission lines using artificial neural networks. The demand for electricity is raising day by day, with proportional to increase of population, we need to generate more power to meet out the demand. It's a challenging task for power engineers to provide good quality of power to the consumers as per their requirement. In electrical power system maximum number of faults occurs in overhead transmission lines. Fault location is one of the major tasks in fault analysis. So the upgradation of old protective relaying systems is necessary due to the unexpected changes in electrical power systems. This survey presents the importance of artificial neural networks for fault location, because it has many advantages compared to other soft computing techniques namely fuzzy logic approach, wavelet technique, support vector machine and other conventional methods.
|Journal||Data powered by Typeset2017 11th International Conference on Intelligent Systems and Control (ISCO)|
|Publisher||Data powered by TypesetIEEE|