Abstract

Accurate fault diagnosis and analysis are necessary for a continuous supply of electricity. Fault detection and location of fault in power transmission lines are important for protecting sensitive parts of the system. The stability of the power system can be disrupted by faults like short circuits or equipment breakdowns, thus prompt fault detection is crucial. Effective fault detection and response are essential for maintaining the security of power systems. It increases the power system's resistance to both natural and man-made disruptions, assuring the grid's dependable and secure functioning. Optimizing the cost of power system operations requires effective defect detection. Utility companies are better equipped to respond quickly to outages, minimizing downtime and associated costs. In this paper a SIMULINK model of the power system is developed using MATLAB software. Discrete wavelet transform (DWT) is employed to detect and distinguish among the fault types. Radial Basis Function Neural Network (RBFNN) method of detecting faults is also employed. The simulation results obtained is propitious and accurate for real time analysis