现代电力2018，Vol.35Issue(1)：14-18,5.
基于最优平滑阶数的风电功率曲线建模策略研究
Study on Modeling Strategy of Wind Power Curve Based on Optimal Smoothing Order
卢芸 1刘金强 1滕予非 2王晓茹1
作者信息
- 1. 西南交通大学电气工程学院,四川成都 610031
- 2. 国网四川省电力公司电力科学研究院,四川成都 610072
- 折叠
摘要
Abstract
It is difficult for traditional modeling methods of wind power to get higher accuracy due to the large range fluctuation of wind power under the condition of same wind speed.A modeling strategy of wind power curve based on optimal smoothing order is proposed.Firstly,smoothing preprocessing method based on time series is utilized to a-chieve new input wind speed,optimal smoothing order with maximum correlation coefficient is chosen as objective func-tion,and BP neural network is applied to fit wind power curve.Based on the measured data of the wind turbine in a wind farm located in southwest China,experimental results show that the accuracy of wind power curve model built by taking wind speed as input obtained by the optimal smoot-hing preprocessing is obviously better than that of the exist-ing methods which utilize original wind speed data as input.关键词
输入选择/相关系数/最优平滑阶数/BP神经网络/风电功率曲线Key words
input selection/correlation coefficient/optimal smoothing order/back propagation(BP)neural network/wind power curve分类
信息技术与安全科学引用本文复制引用
卢芸,刘金强,滕予非,王晓茹..基于最优平滑阶数的风电功率曲线建模策略研究[J].现代电力,2018,35(1):14-18,5.
