Artificial neural network based dynamic load modeling

The aim of this research is to investigate the use of artificial neural networks (ANN) with feedback loops for the modeling of power system dynamic loads using field data. In addition to the power demand before the transient, only the phase voltages are assumed available at the recall stage. It is found that the load dynamics can be identified using the ANN developed for the season and the location of the load being emulated. The frequency response of the tested load is also obtained using the achieved ANN model.