可再生能源2012，Vol.30Issue(2)：32-36,5.
基于BP神经网络与遗传算法风电场超短期风速预测优化研究
Optimazation study on ultra-short term wind speed forecasting of wind farms based on BP neural network and genetic algorithm
摘要
Abstract
Wind speed forecastion is very important to dispatch wind power grid connected. A wind speed prediction model based on BP neural network is established; and from the characteristics of BP algorithm and genetic algorithm , considered network structures hard to certain and slow convergence speed ,a multi-population genetic algorithm was proposed to optimize the structure and the initial weights synchronously of BP networks, Through practical examples shows that the convergence steps and computing time of optimized BP algorithm has significantly decreased ,and a better prediction accuracy. The overall performance of the network has been remarkably improved.关键词
BP神经网络/遗传算法/多种群优化/风速预测Key words
BP neural network/ genetic algorithm/ multi-population optimize/ wind speed forecast分类
能源科技引用本文复制引用
陈忠..基于BP神经网络与遗传算法风电场超短期风速预测优化研究[J].可再生能源,2012,30(2):32-36,5.基金项目
广东水电建设重点攻关项目(纵向201000010). （纵向201000010）
