摘要
介绍了BP神经网络算法和BP-GA综合算法的原理,为了提高风电场风速预测的精度,提出用BP-GA算法对风速进行超短期预测和短期预测,以一风场的实际风速数据为参考,验证所提出算法的有效性。
This paper introduced the principles of the BP neural network algorithm and BP-GA integrated algorithm. To improve the accuracy of wind speed forecasting in wind power plant, the method of BP-GA algorithmfor super short-term and short-term prediction of wind speed were put forward to verify the validity of proposed algorithm based on actual wind speed data as the reference.
作者
叶一枝
YE Yizhi(Academia Sinica, Shanghai Electric Group Company Co., Ltd., Shanghai 200070, Chin)
出处
《能源与节能》
2016年第12期83-85,132,共4页
Energy and Energy Conservation
基金
上海市科委项目(14DZ1203400)
关键词
风速
预测
遗传
wind speed
prediction
genetic