Energy Storage Control Strategy Based on Wind Prediction and Wavelet Packet

Abstract

Renewable energy and in particular the Wind power is intermittent and fluctuating. Direct grid-connected wind power poses great challenges to the stability of the power system, as well as the control of grid frequency and power quality. Although the wind appearance could be predicted with some probability using the bunch of several approaches, for the safety of the end user, the original output power must be controlled. In this paper, the wavelet packet decomposition is used to decompose the original/input wind power until the target grid-connected power meets the set requirements and stops decomposing. For the first time the approach uses the Artificial neural network approach.