微型电脑应用2025，Vol.41Issue(2)：153-156,4.
基于多元信息融合的风电功率预测模型研究
Research on Wind Power Prediction Model Based on Multivariate Information Fusion
董鹏辉 1崔世文 1苏正雄 1张齐 2郭彦飞2
作者信息
- 1. 中国三峡新能源(集团)股份有限公司青海分公司,青海,西宁 810000
- 2. 国电南瑞科技股份有限公司深圳分公司,广东,深圳 518000
- 折叠
摘要
Abstract
As the increasing scale of wind power connected to the grid,the accurate prediction of wind power becomes very im-portant for optimal control of wind power and safe economic operation of power system,but wind power is a typical random variable,and it is highly intermittent and volatile.In view of the problem that wind power is difficult to predict accurately,this paper proposes a wind power prediction model based on multivariate information fusion.After decomposing the power time se-ries of the original wind farm and adjacent wind farms by the moving average method,combining with data predicted physical numerical weather prediction to constitute multivariate information,and using fast correlation-based filter(FCBF)algorithm to filter the input feature quantity.The nonlinear mapping between feature quantity and wind power is realized by adaptive fuzzy neural network.Through comparison and analysis of wind power prediction examples,the results verify the effectiveness and superiority of the proposed wind power prediction model.关键词
风电功率预测/多元信息融合/快速相关过滤法/滑动平均法/自适应模糊神经网络Key words
wind power prediction/multivariate information fusion/fast correlation-based filter algorithm/moving average method/adaptive fuzzy neural network分类
信息技术与安全科学引用本文复制引用
董鹏辉,崔世文,苏正雄,张齐,郭彦飞..基于多元信息融合的风电功率预测模型研究[J].微型电脑应用,2025,41(2):153-156,4.
