Tabu Search Algorithm Optimized ANN Model for Wind Power Prediction with NWP

摘要：

Wind power prediction is of great importance for the safety and stabilization of grids. The most important and difficult problem now is to enhance the prediction precision.BP (Backward Propagation) neural network has been used extensively in wind power prediction.But BP network is apt to getting into local minima and its convergence rate is slow.Tabu search is a kind of intelligent algorithm, which can achieve the global optimizations.This paper put forward a wind power prediction model of BP neural network optimized by tabu search algorithm with memory function.The result shows that with appropriate input parameters, the wind power prediction model of neural network based on tabu search algorithm can improve the prediction precision as well as the convergence rate.

关键词： Wind power prediction ANN tabu search algorithm

作者: Shuang Han Jinshan Li Yongqian Liu

作者单位: Renewable Energy School,North China Electric Power University,Beijing,CO 102206 China State Grid Xin Yuan Construction Company Limited,Beijing,CO 100053 China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Smart Grid and Clean Energy Technologies(2011 IEEE智能电网与清洁能源技术国际会议 ICSGCE2011)

会议地点: 成都

会议语种:英文

页码: 460-464

在线出版日期: 2011-09-27（万方平台首次上网日期，不代表论文的发表时间）