Artificial Neural Network Model of an IEEE 5 Bus System under Transient Conditions

The distributed nature with increased complexity of modern power system is creating a new wave of exploration in the field of power system operations and management. Stability is said to be the most considering factor for the power system operation in this scenario. Transient stability is the ability of the power system to regain to its normal operation when subjected to physical disturbances is a vital problem. Nowadays transient modeling is making more significance for the fault identification and clearance in the networked power system. This helps to observe and study the pattern of changes from the stable to unstable operation on the basis of time as a criterion. This makes the system management more easier. The observations are then required to train a system by using an artificial topology for better performance and computation purpose. A transient behavior of a system with its steady state performance is captured and with the captured data, a model is generated based on the artificial neural network learning technology. The system is trained with two different algorithms and observed the comparison of the generated system. The simulation is carried out in Matlab / Simulink.