Short Time Forecasting for Wind Power Generation Using Artificial Neural Network

Abstract

Due to the nature stochastic of wind, wind power generation present a significant issue in electric system stability. Thus, wind power forecasting plays a key in dealing with the challenges of power system stability. Accurate wind power forecasting reduces the need for reserve power for balancing energy to integrate wind power. Also, it enables to better dispatch and scheduling power. In this paper, we study a short-term forecasting of wind power generation. An Artificial Neural Network(ANN) is proposed for prediction purposes. A meteorological conditions wind speed, temperature and pression composes the model input. The ANN based parameters are optimized to get its output approximate future of wind power generation. The normalized RMSE and MAE criteria are computed to assess the ANN model.