Sheela Tiwari¹, Ram Naresh² and Rameshwar Jha³, ¹Dr. B R Ambedkar National Institute of Technology, India, ²National Institute of Technology, India and ³IET Bhaddal Technical Campus, India

This paper demonstrates an effective application of artificial neural networks for online identification of a multimachine power system. The paper presents a recurrent neural network as the identifier of the benchmark two area, four machine system. This neural identifier is trained using the static Backpropagation algorithm. The trained neural identifier is then tested using datasets generated by simulating the system under consideration at different operating points and a different loading condition. The test results clearly establish a satisfactory performance of the trained neural identifier in identification of the power system considered.

System Identification, Neural Networks, Backpropagation (BP)