Load characteristics identification using artificial neural network and transient stability analysis

The modeling of load characteristics is a difficult problem because of uncertainty of the load. This research uses artificial neural networks which can approximate the nonlinear problem to represent load characteristics. After the selection of a typical load, active and reactive power for the variation of voltage and frequency is obtained from experiments. On the basis of obtained data, the load model represented by a neural network is acquired Then the propriety is submitted by case studies.