HVDC Transmission Lines Using Back Propagation Neural Network

In general, an overhead power transmission system is a collection of conductors that transports power from a generation station to a consumer. Because the conductors are left undisturbed, they are more susceptible to defects. These defects cause supply interruptions as well as power dissipation, which have a negative effect on transmission system efficiency. A convenient and accurate power transmission device Power system, Fault Tolerance, HVDC, Back propagation neural network.is capable of identifying and correcting such faults. The research proposal work used back propagation neural networks (BPNN) to build a plan for transmission line fault classification & detection. A comparison of different algorithms used in BPNN is included, with performance measures such as MSE, training time, as well as number of epochs taken into account. The MATLAB/ Simulink framework is used for simulation experiments.