Short-Term Wind Power Forecasting Based on SVM with Backstepping Wind Speed of Power Curve
Accurate wind farm power prediction can relieve the disadvantageous impact of wind power plants on power systems and reduce the difficulty of the scheduling of power dispatching department. Improving accuracy of short-term wind speed prediction is the key of wind power prediction. The authors have studied the short-term wind power forecasting of power plants and proposed a model prediction method based on SVM with backstepping wind speed of power curve. In this method, the sequence of wind speed that is calculated according to the average power of the wind farm operating units and the scene of the power curve is the input of the SVM model. The results show that this method can meet the real-time needs of the prediction system, but also has better prediction accuracy, is a very valuable short-term wind power prediction method.
wind power plants wind speed short-term prediction power curve SVM
Xiyun Yang Peng Wei Huan Liu Baojun Sun
North China Electric Power University, No.2, Beinong Road, Changping District, Beijing, 102206,China MS Techno(Beijing)
国际会议
黄山
英文
401-405
2012-07-10（万方平台首次上网日期，不代表论文的发表时间）