Application of Neural Network to Determine Parameters of the AEC of Synchronous Generator using Phasor Measurement Units

Nowadays, there is a large number of phasor measurement units (PMU) installed in the power systems, which together form Wide Area Measurement System (WAMS). With a high accuracy, PMU measure complex current and voltage values in the installation sites. Previously [1, 2] the possibility of using PMU measurements for determining automatic excitation controller (AEC) parameters of synchronous generator using optimization algorithms was shown. However, the searching for the best optimization method for this issue has not still finished. That is why it would be reasonable to research the capability of neural networks application. At present, we can see a great interest in artificial neural networks. They are implemented in many fields of human life.