Using the Hilbert-huang Transform for Ann Prediction of Nonstationary Processes in Complex Power Systems

The trends in expansion of electric power systems and changes in the conditions of their operation have led to complicate power system operation, increased its changeability and unpredictability that call for prompter and more adequate response of controls systems. This paper presents the hybrid model for the short-term prediction the parameters of expected operating conditions based on joint usage of artificial neural networks models and HilbertHuang Transform. The hybrid model was proposed to increase the accuracy of prediction the non-stationary and non-linear processes (power flow in the 500 kV intersystem transmission line).